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Headquarters: Germany (Remote) ; Ireland (Remote); Netherlands (Remote) ; Portugal (Remote) ; Spain (Remote) ; United Kingdom (Remote) Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or The Netherlands About the team The AI Engineering team builds the systems and capabilities behind Typeform's AI products, including Research Flow, our platform for combining quantitative research with deeper qualitative insights. We use machine learning, large language models, RAG, and agentic systems to help customers collect, understand, and act on information in more conversational and personalised ways. Through Research Flow, this includes helping customers design studies, run AI-moderated conversations with adaptive follow-up questions, and turn responses into useful insights. The team owns the journey from experimentation through to production. This includes AI application development, evaluation, infrastructure, deployment, observability, reliability, and performance. You will work closely with Product Managers, Software Engineers, Data Scientists, Data Engineers, and Analytics teams to turn promising AI ideas into secure, scalable, and dependable customer experiences. About the role As a Senior AI Engineer at Typeform, you will be instrumental in building and evolving the AI capabilities behind Research Flow, alongside our broader AI products. Your work will help customers understand the "why" behind responses and move from research questions to informed decisions faster. Your scope will span generative AI applications, enterprise RAG systems, agentic workflows, model evaluation, machine learning pipelines, and the infrastructure required to run them reliably at scale. This is a hands-on engineering role with strong ownership. You will turn ideas and prototypes into production systems used by our customers, with direct influence on their quality and performance. You will also help define the technical standards for developing, evaluating, deploying, and monitoring AI across Typeform. Things you will do Build and deliver AI products Design, build, and deploy generative AI capabilities across Typeform's products, with a key contribution to Research Flow. Develop applications using large language models, RAG, vector search, and agentic systems. Build services and APIs that allow product teams to integrate AI capabilities into customer experiences. Turn prototypes into reliable production systems with clear measures of performance and quality. Explore new ways for customers to collect, understand, and act on information using AI. Build scalable AI systems Design and operate machine learning services and workflows using Python, Docker, Kubernetes, and AWS. Build reliable pipelines for batch and real time processing using technologies such as Kafka and Airflow. Design solutions using vector databases to support retrieval, recommendations, personalisation, and semantic search. Use MLflow to manage experiments, model versions, registries, and deployments. Improve the reliability, performance, scalability, and cost efficiency of our AI systems. Evaluate and improve AI quality Build automated evaluation pipelines for generative AI applications, including the conversational and analytical capabilities behind Research Flow. Develop benchmarks that measure accuracy, relevance, reliability, fairness, latency, and cost. Evaluate retrieval strategies, including chunking, embeddings, context selection, and reranking. Monitor AI systems in production and identify opportunities to improve their quality and performance. Create safeguards that reduce unexpected behaviour and protect customer data. Shape our AI engineering practice Establish reusable patterns and technical standards for building, evaluating, and releasing AI systems. Help teams make informed decisions about models, frameworks, infrastructure, performance, and cost. Apply strong engineering practices across testing, security, observability, version control, and deployment. Share technical knowledge and support the development of other engineers. Keep up with relevant AI research, tools, and engineering practices, applying what is useful to Typeform. Collaborate across Typeform Partner with Product, Engineering, Data Science, Data Engineering, and Analytics teams to connect AI investments with customer and business needs. Work with Data Scientists to turn experiments and models into reliable production services. Communicate technical concepts, risks, and tradeoffs clearly to technical and nontechnical partners. Contribute to technical planning and help shape the direction of AI across Typeform. What you bring At least four years of experience building and deploying machine learning or AI systems in production. Strong Python and software engineering skills. Experience building production services using Python frameworks such as FastAPI. Practical experience developing generative AI applications using large language models, RAG, tool use, or agentic systems. Experience with frameworks such as PyTorch, LangChain, LangGraph, or similar technologies. A strong understanding of enterprise RAG systems, including chunking, embeddings, retrieval, reranking, evaluation, and monitoring. Experience creating automated evaluations for generative AI applications. Experience with AWS, Docker, Kubernetes, Terraform, and continuous integration and deployment practices. Experience using services such as AWS SageMaker or AWS Bedrock. Experience with Kafka, vector databases, or other technologies used for real time and high dimensional data processing. Experience managing machine learning workflows using MLflow. Experience monitoring production systems with tools such as Datadog or OpenSearch. The ability to balance quality, speed, reliability, scalability, and cost when making technical decisions. Strong communication skills and experience collaborating with Product, Engineering, and Data teams. Extra awesome Experience working in a B2B SaaS product company. Experience with orchestration tools such as Airflow or Argo Workflows. Familiarity with SQL, Spark, Snowflake, or other data processing technologies. Experience building systems that combine structured data, unstructured data, and generative AI. Experience with AI security, privacy, responsible AI, prompt injection protection, or data leakage prevention. Experience improving the latency and cost of AI systems operating at scale. *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual's unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here. To apply: https://weworkremotely.com/remote-jobs/typeform-senior-ai-engineer-eu

Headquarters: Remote, United States About Calm Calm is the leading mental health brand on a mission to make the world happier and healthier. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in ten languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health , offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 42 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company's Brands That Matter . Learn more at calm.com . What We Do We build Calm's product, guide Calm's analysis, secure Calm's data, and operate the platforms that underpin it all. We're product-minded, team-oriented, and grounded in the mission of meeting everyone where they're at on their mental health journey. We work in fast-moving, small pods, and as an SDET you'll make sure what we ship is reliable, well-tested, and ready for the millions of people who rely on Calm. What You'll Do Millions of people rely on Calm every day, and you'll help make sure every release earns their trust. As an SDET, you'll build the automation and pipeline checks that catch issues early, lead our QA efforts, and partner with engineering, product, and design to ship the Calm app and our internal tools with confidence. Specifically, you will: Set the testing strategy and quality bar for the Calm app and our internal content and admin tools Architect and build automated test frameworks and suites (UI, API, mobile, and integration) that run reliably in our CI/CD pipelines Review requirements, specs, and pull requests early so issues are caught in-sprint rather than at the end Work with all of our consumer product teams on release planning and certification, and monitor release health after launch Partner with product and design (roughly 30% of your time) to define acceptance criteria and keep release timelines on track Manage and direct our offshore QA team, shifting their work toward automation and higher-value testing over time Triage and document defects with clear, actionable detail, and drive them to resolution Track and report on quality metrics such as coverage, flakiness, escaped defects, and release stability Use AI-assisted tooling to speed up test creation, maintenance, and analysis Contribute to feature development in Android, iOS, backend, or web as the role grows Who You Are 3+ years of experience as a software engineer, SDET, or QA automation engineer Strong programming skills in Java and JavaScript/TypeScript Hands-on experience building test automation frameworks and integrating them into CI/CD pipelines Experience testing mobile apps (iOS and/or Android) Experience leading QA efforts and owning release readiness, ideally with distributed or offshore teams Comfortable using AI-assisted tools in your testing and development workflow Nice to Haves Experience with a consumer subscription or mobile app at scale Hands-on development experience in a mobile, backend, or web codebase Minimum Requirements 3+ years of related experience Calm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay ranges across Calm's pay tiers is as follows: $111,400 - 181,500. The base pay range represents the low and high end of Calm's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off. Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process. Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm's Recruiting team at recruitingaccommodations@calm.com . All accommodation requests will be handled confidentially and assessed on a case-by-case basis. We believe that mental health is health, and every person should be considered in the discussion. That's why we're proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening. FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Right to Work E-Verify Participation To apply: https://weworkremotely.com/remote-jobs/calm-com-software-development-engineer-in-test

Headquarters: Remote-US ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen fast. We are seeking a highly experienced, hands-on Principal Data Engineer to define and evolve the architecture, engineering standards, and operating model for our enterprise data platform. This role is for a technical leader who excels at complex system design: translating business and analytical needs into scalable, reliable, secure, and maintainable data products. The Principal Data Engineer will lead critical architectural decisions across data ingestion, storage, transformation, orchestration, governance, observability, and consumption, while raising the engineering bar through mentorship, design reviews, and pragmatic best practices. You will work across engineering, analytics, platform, security, and business stakeholders to create systems that make trusted data accessible, timely, and actionable at scale. What You'll Do Lead Data Architecture and System Design Own the technical vision and architecture for scalable, resilient, and cost-effective data platforms and pipelines. Design end-to-end data systems spanning batch and streaming ingestion, transformation, data modeling, storage, orchestration, serving layers, and consumption patterns. Make and document high-quality architecture decisions, including tradeoffs involving performance, reliability, scalability, latency, security, maintainability, and cost. Define reusable architectural patterns for common data engineering challenges, including CDC, event-driven data flows, schema evolution, slowly changing dimensions, data quality, and multi-tenant or domain-oriented data models. Establish clear boundaries and interfaces between operational systems, data platforms, analytics layers, and downstream applications. Lead technical design reviews for high-impact initiatives and provide clear, constructive direction on implementation approaches. Identify architectural risks early and drive plans to mitigate technical debt, single points of failure, data inconsistency, and operational fragility. Set Engineering Standards and Best Practices Establish and continuously improve standards for data engineering development, testing, deployment, documentation, monitoring, incident response, and lifecycle management. Define best practices for version-controlled data transformations, infrastructure as code, CI/CD, code review, automated testing, and environment promotion. Build a culture of data reliability by implementing standards for data contracts, schema management, lineage, observability, freshness, completeness, accuracy, and reconciliation. Champion security, privacy, access control, governance, retention, and compliance requirements throughout the data lifecycle. Develop practical engineering guardrails that enable teams to move quickly without sacrificing quality, trust, or operational excellence. Drive adoption of well-defined SLIs, SLOs, alerting, runbooks, and post-incident learning practices for critical data products. Drive Technical Decision-Making Serve as a trusted technical authority for complex, cross-functional decisions involving data architecture, tooling, platform capabilities, and engineering investments. Facilitate technical discussions that turn ambiguous requirements into durable, well-reasoned solutions. Evaluate build-versus-buy decisions, platform technologies, and vendor capabilities using clear criteria and documented recommendations. Align architecture decisions with organizational priorities, business outcomes, data strategy, and long-term platform sustainability. Create and maintain architecture decision records, reference architectures, roadmaps, and technical standards that provide clarity across teams. Influence leaders and stakeholders through concise communication of technical options, risks, tradeoffs, and recommended paths forward. Build and Improve Data Products Lead the design and development of high-value, production-grade data pipelines, datasets, and platform capabilities. Partner with data analysts, data scientists, software engineers, and product teams to deliver well-modeled, discoverable, and trustworthy data products. Optimize data systems for reliability, usability, performance, scalability, and cost efficiency. Drive modernization initiatives, including migration from legacy platforms, consolidation of fragmented pipelines, and reduction of manual operational processes. Ensure data products are designed with clear ownership, documentation, lineage, quality expectations, and support models. Mentor and Multiply Engineering Excellence Mentor data engineers at all levels, with a particular focus on growing senior engineers into strong technical leaders. Provide practical coaching on system design, data modeling, debugging, performance tuning, code quality, and production operations. Lead architecture reviews, technical workshops, design sessions, and knowledge-sharing forums. Establish reusable templates, reference implementations, and playbooks that improve consistency and accelerate delivery. Foster an inclusive, high-accountability engineering culture centered on thoughtful collaboration, continuous learning, and ownership. Act as a technical multiplier: helping teams make better decisions independently while maintaining alignment with shared architectural principles. What you bring Required 10+ years of experience in software engineering, data engineering, platform engineering, or a related technical discipline. 5+ years designing and operating large-scale data platforms, distributed data systems, or enterprise-grade data products. Demonstrated expertise in end-to-end system design, including defining requirements, evaluating tradeoffs, designing resilient architectures, and delivering production systems. Deep experience with modern data architecture concepts, such as lakehouse or warehouse platforms, batch and streaming processing, data modeling, orchestration, metadata management, and data governance. Strong proficiency in SQL and at least one general-purpose programming language, such as Python, Java, Scala, or similar. Experience with distributed data processing frameworks and technologies such as Spark, Kafka, Flink, Snowflake, Databricks, BigQuery, Redshift, or equivalent platforms. Strong knowledge of data modeling practices across analytical, operational, and domain-oriented use cases. Experience establishing engineering standards for testing, CI/CD, observability, infrastructure as code, reliability, and security. Proven ability to lead technical decisions across multiple teams without relying on direct authority. Exceptional written and verbal communication skills, including the ability to explain complex technical concepts and tradeoffs to technical and non-technical stakeholders. Demonstrated experience mentoring engineers and raising technical standards across an organization. Preferred Experience with cloud-native data platforms on AWS, Azure, or GCP. Experience implementing data mesh, domain-oriented data product, or self-service platform patterns. Familiarity with data governance, cataloging, lineage, privacy, and access-control tooling. Experience supporting financial, revenue, operational, customer, or enterprise analytics domains. Experience with ML data pipelines, feature stores, or AI/LLM data foundations. Experience managing major data-platform migrations, modernization programs, or large-scale architectural transformations. Leadership Competencies Systems thinker : Connects individual technical decisions to broader platform, organizational, and business outcomes. Pragmatic architect : Balances ideal-state architecture with incremental delivery and operational realities. Technical judgment : Makes clear recommendations amid ambiguity and communicates tradeoffs transparently. Builder and operator : Designs for production from the beginning, including reliability, security, observability, and supportability. Mentor and multiplier : Develops others and creates scalable mechanisms for technical excellence. Collaborative influencer : Builds alignment across engineering, analytics, security, product, and business teams. Our Technology Stack Languages & Databases: Python, SQL, MySQL, NoSQL databases Orchestration & Transformation: Airflow, dbt Data Platforms: Snowflake, AWS, GCP, BigQuery, Redshift Data Integration: Fivetran, custom ETL/ELT frameworks Observability & Data Reliability: Datadog, monitoring, alerting, data-quality frameworks #LI-JH1 #LI-Remote Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $171,500 — $269,500 USD About us: ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location. To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-principal-data-engineer

Headquarters: New York, NY URL: https://lemon.io Are you a talented Senior Developer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. We'll manually find the best project for you according to your skills and preferences. Choose a schedule that works best for you. It's possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? We will support you from the time you submit the application throughout all cooperation stages. Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Through our community, we will connect you with the best developers from more than 75 countries. Requirements for the Senior React & Python Position: 4+ years of software development experience. Commercial experience: React.js 3+ years & Python 3+ years OR React.js 2+ years & Python 5+ years OR React.js 5+ years & Python 2+ years Experience with AWS, GCP, or Azure is required. Requirements for the Senior Node & React Position: 5+ years of software development experience Commercial experience: React.js: 3+ years, Node.js: 5+ years, and Next.js: 2+ years OR React.js: 5+ years, Node.js: 3+ years, and Next.js: 2+ years Expertise in TypeScript, AWS and AI-assisted coding is a must. Requirements for the Senior Ruby & React Position: 5+ years of software development experience Commercial experience: React.js: 2+ years, Ruby: 5+ years OR React.js: 5+ years, Ruby: 2+ years Experience with AWS, GCP, or Azure is required. Other requirements: Strong technical skills: as a Senior Developer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. Strong self-organizational skills — ability to work full-time remotely with no supervision. Reliability — we want to trust you and expect that you won't let us and the client down. Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. Sounds good for you? Apply now and join the Lemon.io community! NOT YOUR TECH STACK? We're placing Senior Developers (4+ yrs commercial experience) across AI Agent Architecture, AI Automation Architecture, AI Engineering, Site Reliability Engineering, Platform Engineering, Enterprise Software Engineering, React & Golang, Golang, React & Java, Ruby, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, iOS & Swift, Flutter & Firebase, Solutions Engineer, Blockchain (Ethereum/Ethers.js/Wagmi/Viem/Solana), Angular & Node.js, Vue & .NET, Python & Vue, DevOps, MLOps, Data Science, Angular & PHP, Angular & .NET, Symfony & React, Symfony & Vue, Symfony & Angular, Python, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, Project Management, Product Management, QA Automation, QA Manual, Embedded Software Engineering, React Native & Node, React Native & React, React Native & Ruby, React Native & Python, WordPress, Android, Angular, Python & Node, Java & Spring, Svelte & Python, Svelte & Node.js, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, UI/UX Design, Animation, Graphic Design, React & Node & React Native, .NET & C#, Electron, Scala, C++, Unreal Engine & C++, Python & LLM, Unity, or Machine Learning Engineering and more. Reach out and we'll match you. We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire. We work with developers from 75+ countries across Europe, Latin America, North America (the U.S. and Canada), selected countries in Asia (Japan, Singapore, South Korea, the Philippines, Indonesia, Malaysia, Vietnam, Thailand, and Israel), Oceania (Australia, New Zealand, and Papua New Guinea), and Africa (including Morocco and South Africa). To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-react-full-stack-developer-7

Headquarters: India (remote) Machine Learning Engineer IV – (Computer Vision) We're looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You'll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You'll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We're Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS). Nice to Have Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness. Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms. Familiarity with privacy, security, and compliance in biometric systems. Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite. Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training. Strong communication skills. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities : Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses. About Jumio: Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we're expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others. Applicant Data Privacy We will only use your personal information in connection with Jumio's application, recruitment, and hiring processes, as described in Jumio's Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com . To apply: https://weworkremotely.com/remote-jobs/jumio-machine-learning-engineer-iv-computer-vision

Headquarters: Germany (Remote) ; Ireland (Remote); Netherlands (Remote) ; Portugal (Remote) ; Spain (Remote) ; United Kingdom (Remote) Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal, Spain or The Netherlands About the team Typeform is a leading provider of interactive forms, surveys, and data collection experiences. We help businesses create more engaging ways to collect, manage, and understand data. This team sits at the center of how Typeform builds product experiences, creating the shared foundations, tooling, and infrastructure that support scalable and consistent development across the platform. About the role We're looking for a Mid level Full Stack Engineer with a stronger backend focus to help evolve the internal systems and infrastructure that support our product development ecosystem. This role is ideal for someone who enjoys building scalable internal platforms and developer tooling, while still being comfortable contributing across the frontend when needed. You'll work on APIs, automation, release pipelines, and engineering infrastructure that improve how teams build and ship product experiences across Typeform. You'll partner closely with engineers and designers to improve tooling, workflows, and developer experience across the company. Things you will do Build and maintain backend services, APIs, and internal tooling used across product development teams Improve infrastructure powering component distribution, asset management, documentation, and release workflows Support and evolve the engineering monorepo, helping improve scalability, maintainability, and developer experience Collaborate with frontend engineers and designers to ensure shared patterns and tooling are implemented consistently across products Contribute to CI/CD pipelines, automation, testing, and deployment processes using tools like GitHub Actions Help improve the reliability and performance of internal systems, including observability and monitoring workflows Support engineers across product teams with adoption and integration of shared tooling and services Contribute to documentation and developer tooling to improve discoverability and onboarding Work on ongoing platform improvements, including: Migration of legacy code and tooling Documentation platform enhancements Automation improvements Sandbox and developer tooling improvements Participate in architecture discussions and contribute practical, scalable engineering solutions What you already bring to the table Experience working with JavaScript or TypeScript in production environments Good understanding of backend development principles and experience building APIs or internal services Familiarity with Node.js and modern web frameworks such as React or Next.js Experience working with relational databases and understanding of database design fundamentals Understanding of testing practices and software quality principles Familiarity with CI/CD workflows and developer tooling Experience working with Git and collaborative engineering workflows Strong communication skills and the ability to work cross functionally with designers and engineers Interest in developer experience, platform engineering, or internal tooling Extra awesome Experience working in a product led SaaS company Exposure to frontend infrastructure or shared platform tooling Familiarity with observability and monitoring tooling Experience contributing to monorepos or internal platform tooling Degree in Computer Science or a related technical field *Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team , empowering our collective efforts by valuing each individual's unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here. To apply: https://weworkremotely.com/remote-jobs/typeform-full-stack-developer

⚖️ Who are we Plato is building the AI OS for litigation lawyers. With AI, the legal industry is on the verge of a major transformation. Litigation lawyers are overwhelmed by complex and repetitive tasks: complex damage calculations, thousands of documents to review, days spent drafting legal documents, and more. Our mission: Build the leading AI OS for litigation lawyers , enabling professionals to work 5x faster , by putting their whole firm on autopilot. Plato already supports more than 30 law firms and 1 major insurance company's legal team, who use our solution daily to manage hundreds of active cases. Founded in January 2026 by Ben (CEO) and Alexandre (CTO), we are backed by Hexa (formerly eFounders), Europe's leading startup studio. Hexa has launched over 35 companies, including unicorns such as Front, Aircall, and Spendesk, collectively generating more than €230M in ARR and raising over €750M in funding. Plato is live with real users, real data and real revenue, solving concrete legal workflows in production. We're now looking for a Founding AI Engineer to help us turn the latest advances in AI into reliable products used every day by legal professionals. 🎯 Your mission You'll work directly with Alexandre , our CTO, at the intersection of AI, software engineering and product . Your job is not to do AI research for the sake of research. You'll experiment with models and approaches, understand what works, and turn the best solutions into reliable production systems . You'll work on problems such as building agentic workflows, making sense complex legal documents, designing autonomous long-running agents, and improving the quality and reliability of AI-generated outputs. Responsibilities Build AI-powered product features Design and ship AI features used directly by lawyers Be at the bleeing edge of the agentic stack: memory, sandboxes, code mode, lots of tools, subagents… Turn prototypes and experiments into production-ready feature Work with complex data Extract, structure and reason over large volumes of unstructured legal documents Build robust data and document-processing pipelines Experiment with different models and approaches to improve accuracy and reliability Make AI work in production Evaluate and improve agent outcomes through testing, evals and iteration Optimize systems for quality, latency and cost Build the backend services and infrastructure needed to run AI reliably at scale Shape the product Work directly with the founders and users to understand real-world problems Move quickly from problem → experiment → production (think days, not weeks) Take ownership of your projects from exploration to deployment 🤩 This role is for you if We're looking for a strong software or AI engineer with 2+ years of experience who wants to build real-world AI products at the forefront of the agentic stack. You like working close to founders and users, making pragmatic technical decisions, and shipping software that actually runs in production. You'll thrive in this role if you: Have a strong software engineering foundation , ideally with Typescript and experience shipping production systems Have experience with agents and/or evals and frameworks like Mastra, Eve, Pydantic, Langchain, etc… Can take an AI problem from experimentation to production Enjoy solving problems with no clear solution Have a strong product mindset and care about user impact Are autonomous and pragmatic , comfortable navigating early-stage ambiguity and shipping fast ⚙️ Our tech stack Our stack is designed to support AI-first workflows and production reliability . Backend & Frontend: TypeScript, Node.js, React, tRPC Infrastructure: AWS (Terraform) Data & AI: Mastra, Bedrock Database: Postgres You don't need to master every tool — what matters is your ability to design robust systems, learn fast, and make sound technical trade-offs. 💎 What we offer Build alongside a strong AI expert: Work closely with Alexandre , our CTO, who has deep expertise in AI agents, and turn cutting-edge AI into production systems. Ownership & Impact: As the second engineering hire, you'll have real influence on the product and technical direction Bring AI to real users: Build production AI systems that solve real problems in a complex, high-stakes domain Hexa ecosystem: Access to expertise, resources, and network from one of Europe's leading startup studios Competitive package: Attractive salary + meaningful equity Paris-based team: Work alongside the founding team in our office Growth: Opportunity to grow into a technical leadership role as the team scales Plato is committed to creating a diverse environment. All qualified applicants will receive consideration for employment irrespective of gender, origin, identity, background and sexual orientation. We know there's a long way to go regarding diversity in our industry, which is why we encourage all applicants to apply to our open positions. Find Jobs in France on Arbeitnow

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google , meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum Qualifications Bachelor of Science in Computer Science/Software Engineering or related field. 6 + years of experience with Backend Engineering in a high-level programming language (e.g., Java, C#, Golang). Experience with cloud platforms (e.g., AWS, GCP, Azure). Preferred Qualifications Experience with microservices based architecture. Experience with databases and message queue technologies. Experience with continuous integration and deployment (CI/CD). Familiarity or experience with Golang, GraphQL, PostgreSQL, Neptune, Docker, and Kubernetes. About the Job We're looking for an experienced Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. Responsibilities End-to-end development of backend software components (research, design, development, testing, rollout, monitoring). Contributing to technological and architectural decisions. Conducting design and code reviews. Analysing and improving efficiency, scalability, and stability of various backend system components. Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship . Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What does the team work on? Roku TV is where embedded systems, media experiences, and intelligent software come together at massive scale. The Roku TV organization builds technology used on millions of TVs globally, and the team is already applying AI to demanding TV problems in resource-constrained environments where quality, performance, and reliability matter. As part of this team, you will help define how agentic AI systems are designed, built, and operated for Roku TV use cases. This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline: architecting durable systems, grounding them in the right context, integrating them with tools and services, and making them reliable in production. What is the role? We are looking for a hands-on, systems-oriented Agentic AI Engineer of roughl7 2-5yrs experience to design, build, and maintain intelligent agents and copilots that drive automation, accelerate workflows, and unlock new product and platform capabilities for Roku TV. You will own the full lifecycle of agent development—from prototyping and architecture through orchestration, evaluation, deployment, observability, and continuous improvement. You will contribute directly to Roku's AI strategy by engineering reusable components, optimizing agent workflows, and ensuring strong real-world performance in production environments. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What are the responsibilities of the role? Architect, develop, and deploy AI agents and copilots for Roku TV use cases, integrating them with internal systems, tools, and services. Own end-to-end agentic systems from concept to production, including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces. Design and implement single-agent and multi-agent orchestration patterns, including handoffs, delegation, and cooperative task execution. Build scalable RAG and context pipelines that provide high-quality grounding for AI systems and keep them aligned with evolving data sources and business logic. Implement tool-calling, function-calling, and MCP-style integrations so agents can safely take actions and interact with the systems around them. Create reusable agent templates, modular components, and paved-path patterns that accelerate adoption across teams and use cases. Establish strong evaluation, observability, and monitoring for conversation quality, task success rate, latency, cost, and overall system performance. Build safeguards that improve production readiness and reliability, including testing pipelines, controlled rollouts, drift detection, and mechanisms that prevent error amplification in multi-step workflows. Prototype quickly, run experiments, and translate successful ideas into durable, scalable software solutions. Partner closely with engineering, product, QA, infrastructure, and cross-functional teams to deliver meaningful business and customer outcomes. What experience would help someone be successful in the role at Roku? Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2-5 years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers or equivalent function-calling architectures, and conversational interfaces. Familiarity with cloud platforms, REST APIs, containerization, and modern deployment environments. Experience with observability, evaluation, experimentation, and feedback loops for AI systems in production. Ability to work independently, manage ambiguity, move quickly, and deliver incrementally in a fast-paced environment. Excellent communication skills, sound engineering judgment, and a collaborative working style. Nice to have Experience with multi-agent frameworks or orchestration systems such as LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. #LI-NM1 What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet . By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice , and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing <a ----- ----- Find Jobs in United Kingdom on Arbeitnow

Hybrid working based at one of our offices in London, Bath or Edinburgh. Your contract will be hybrid, although we don't currently require a set number of office days. We support flexible working and trust teams to agree how and where they work best, taking a pragmatic approach based on the needs of the role and team. About us Seccl is the Octopus-owned embedded investment platform, on a mission to help more people invest, and invest well. We're building the infrastructure behind the next generation of investing. Our technology already powers some of the UK's most ambitious fintechs, banks, financial advisers and wealth firms, with close to a million investors relying on Seccl-powered platforms. And we're now expanding into Europe. We've got a proven product, strong momentum and big ambitions for what comes next: helping more household-name brands launch and scale investment propositions, entering new markets and replacing outdated investment infrastructure with technology that's faster, simpler and built for scale. We're proud to be part of Octopus, one of the UK's most successful privately held investment and technology groups. That gives us the backing and long-term perspective to build something substantial, while keeping the pace and energy of a high-growth business. Seccl and Octopus are both B Corp certified and share a belief that profit and purpose should go hand in hand. If you want to help shape the future of investing in the UK and across Europe, you'll be in good company. Check out the Seccl website to see what we're building and read more about our mission to shape the future of investments. Our culture: Never settle – We think of ourselves as 'embedded hero-makers' for our customers. We put them first, and if we say we'll do something, we'll move heaven and earth to do it. We think boldly and embrace change. Take ownership - We think rigorously and deeply about a problem, but then charge at it, acting with and urgency and speed that sets us apart. But we never lose sight of quality or long-term scalability. Be generous & candid - We encourage our people – and our customers – to challenge us and never shy away from tough conversations. We have a flat and inclusive culture where everyone can be themselves – and speak up. Check out our Glassdoor page for the latest reviews or our LinkedIn for company updates and insights from the team. Our engineering ways of working: Our Product and Engineering organisation is structured into four tribes: Custody, Accounts, Experience, and Cloud & Security. Each tribe contains multiple autonomous squads, with clear full ownership over specific product domains. The squads are intentionally small and cross-functional, typically made up of an Engineering Manager, Product Manager, and 3–5 engineers with complementary skills aligned to the domain they own. We operate in a build-and-run model, with teams responsible for the full software lifecycle, from architecture and delivery through to operational support and incident management. Our core platform is built on AWS serverless technologies including Lambda, SQS, EventBridge, API Gateway, S3, and ECS. We primarily develop in TypeScript and Node.js, with MongoDB as our primary document database. We also have a small number of C# services and are continuing to evolve our platform architecture, including expanding our use of ECS Fargate. Infrastructure is managed through a combination of Terraform and Serverless Framework. We use GitHub Actions for CI/CD and incident.io to support our incident management processes and operational workflows. We care deeply about engineering quality, pragmatic architecture, and continuous improvement. If you'd like to go deeper, we're happy to share more about our engineering practices and technology radar during the interview process. The role As an engineer at Seccl you will design, build and operate reliable and scalable, testable and maintainable software solutions, building new functionalities and products using Typescript and Node.js. You play a key role in our software development and have a hands-on approach throughout the development process supporting resilient financial workflow systems and regulated investment operations. As a senior member of the team, you are the 'go-to' person for queries. On a typical day you will… Work collaboratively in a domain aligned cross-functional squad made up of engineers and product along with colleagues from customer-facing and operations teams Design, implement and operate your services within your domain Be accountable for the SLAs of your products and iterative improvements Maintain and extend documentation for your services Foster a culture of continuous improvement and technical excellence while understanding when "good enough for now" is appropriate Provide guidance and mentorship for other engineers Communicate with non-technical colleagues to answer queries about the Seccl system What you need… To own your services from design to operation. We operate a build-and-run model where engineers have autonomy but full accountability. We care deeply about correctness, resilience and operational excellence because our systems underpin real customer investments. Engineers are not passengers in their products but champions. Drive improvements and features while collaborating openly with product, operations and engineering colleagues, challenging ideas constructively and focusing on delivering the best outcomes for customers. Have a strong ability to understand business and customer problems and turn them into efficient, scalable solutions. Be curious about how investment and custody products operate, and pragmatic in balancing customer value, operational correctness, engineering quality and long-term scalability. Experience building financial systems with multi-region, multi-currency or trading-related complexity would be advantageous. Experience in a strongly/statically typed language. Have a strong understanding of designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). We use AWS. Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Core technical skills you must have: Strong commercial experience with Node.js , specifically TypeScript Experience with Amazon Web Services Experience with Serverless products Experience with document databases, ideally MongoDB Experience mentoring engineers Experience leading technical delivery in a build-and-run engineering model Experience in a structured on-call process and incident management Experience working in regulated industries, ideally financial services or FinTech. This role isn't for you if... You rely on a lot of top-down direction. Here, you'll have a lot of freedom and ownership of your role, and you'll be expected to shape your own progression, bring forward ideas, and spot opportunities to improve You're not comfortable working in a fast-paced environment. Our speed and scalability are what set us apart; you need to be able to act quickly and think on your feet You struggle to follow through on ideas. We value people who do what they say they will. If you care about something, you have the freedom here to make it happen You don't like change . You'll get on great here if you relish the ambiguity of rapid growth and are willing to embrace uncertainty What's in it for you… We offer a generous mix of benefits for the things that really matter to our people, including: Base salary based on experience and skills demonstrated during our assessment phase 🌴 27 days holiday + bank holidays (some can be flexible) + day off on your birthday + three days (full time) per year for Dependant leave 💙 Two volunteering days per year 🏅 Length of service award – one month paid sabbatical at eight years ✅ 6% employer pension contribution, and life assurance 🏥 Private medical insurance with AXA Health 👪 Enhanced Parental leave 💻 MacBook and up to £500 home office set up budget 📖 £750 per person learning budget 🌎 Option to work abroad for up to six weeks a year 🌻 Health and wellbeing initiatives including free therapy via Wellness Cloud, mental health support via Headspace 🌱 Strong financial wellbeing focus including access to Octopus Money , Octopus Share Incentive Plan and will writing offering via Octopus Legacy 🎁 Perkbox – Flexi-points giving you a range of discounts and perks including free weekly coffee, gym and retail discounts 🚲 Access to initiatives like Cycle to Work and Octopus Electric Vehicle Leasing Interview process Interviewing is a two-way thing, and we want you to have the time and opportunity to get to know us, as much as we are getting to know you. Our interviews are conversational, so come with questions and be curious. In general, you can expect the interview process to look a bit like this: Talent screen - 30 min intro call with our Talent partner or an Engineering manager Bar raiser - 40 min with two Engineering leaders focused on Engineering culture alignment Technical loop - 2h virtual technical assessment with 2 core components - system design, TypeScript code review with breaks between the stages. You will receive preparation materials for the round and more information on how to prepare. ⏳ We'll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don't miss out and you should expect to hear back from us within one to two weeks of applying. 🌈 Our aim is to build a diverse and inclusive company of awesome people, with unique skills, passions and experiences. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If this sounds like your kind of thing, we encourage you to apply even if you don't tick every box. We'd love to hear from you! #LI-VS1 #LI-hybrid Find more English Speaking Jobs in United Kingdom on Arbeitnow

Your mission Most AI lives in a chat window. Ours will run physical infrastructure across a pan-European network. As a Senior AI/ML Engineer in our newly established AI UNIT within E.ON Drive Infrastructure (EDRI), a special unit built and run like a startup, you will be at the forefront of designing, building, and scaling AI systems that deliver real business impact. Working across the entire AI lifecycle, you will take solutions from experimentation to production and own them there, while helping define the technical foundation of our AI UNIT. You report to our Head of AI Strategy. Your Responsibilities Shape the AI/ML architecture, technology stack, and engineering standards of the unit Design, build, and operate production-grade AI and machine learning systems and own their reliability, quality, latency, and cost Develop classical ML and GenAI solutions, including RAG, agentic systems, and AI-powered services Productionize ML models developed by our Data Scientists and operate them at scale Define and enhance MLOps and LLMOps practices for deployment, versioning, monitoring, evaluation, and retraining Own our LLM gateway, including model routing, token limits, cost per use case, guardrails, and logging Build scalable AI services and APIs for our Full-Stack and AI Deployment Engineers Evaluate emerging AI models, AI tooling, and agentic systems and integrate impactful innovations into our stack Share knowledge and support the growth of junior colleagues – this is a senior individual contributor role Your profile You are an experienced AI engineer who combines strong software engineering fundamentals with hands-on expertise in modern machine learning and Generative AI. You enjoy solving complex problems, taking ownership, and turning ideas into production-ready solutions. Must have Proven experience owning AI/ML solutions in production end to end, with measurable impact Strong software engineering skills in Python, including testing, CI/CD, and clean architecture Solid understanding of machine learning concepts, model evaluation, and experimentation Production experience with Generative AI, including prompting, RAG, agents, and evaluation frameworks Experience with MLOps and model deployment workflows in Azure – AWS or GCP experience transfers Strong understanding of trade-offs between accuracy, latency, scalability, cost, and risk Ability to translate complex business and technical challenges into practical solutions Curious, pragmatic, and passionate about applying the latest AI technologies to real-world problems Strong communication skills and the ability to collaborate effectively across technical and non-technical teams Nice to have Fine-tuning, post-training, or inference optimization Optimization or operations research Experience with physical infrastructure, energy, mobility, or other asset-heavy industries Open-source contributions or public work – side projects count [neu] We hire for spikes, not for resumes. Don't tick every box? Apply anyway and show us what you have built. Why us? People take centre stage: Become part of a dynamic, ambitious and agile team that develops solutions for the eMobility market and be part of our EDRI events With us, you get the best of both worlds - 100% start-up with the support of a large company The freedom you need: We offer you hybrid working with flexible working hours Workation: Enjoy the flexibility to work temporarily from abroad – within the EU You will receive a competitive salary A company pension scheme is of course also one of the benefits with us Sustainable learning opportunities: We support you with a training budget of 5,000 euros per year You get everything you need to get started: onboarding with welcome gifts and all the hardware you need Contact Diversity counts at E.ON. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse corporate culture! Seize the opportunity to become part of our E.ON Drive Infrastructure team and not only create prospects for the future of E.ON, but also for your own. We look forward to getting to know you! Laura Junior Recruiter Do you have any questions or difficulties with your application? Please contact me at ----- Find Jobs in Germany on Arbeitnow

We are looking for a skilled and passionate Senior Software Engineer, Billing & Monetization to join our Billing team in the Amsterdam office. Working in a high-growth scale-up, you'll have the unique opportunity to drive innovation at scale while contributing to a company transforming the world of audit and finance. About the role: Every customer's path through DataSnipper, from first sign-up to first agent run to renewal, runs on the systems this team owns: how customers get in, what they are entitled to, and how AI usage turns into revenue. As we move from seats to usage and credits for our agentic products, these systems become as strategic as the product itself, and they have to be fast, accurate and trustworthy. This is a hands-on role for an engineer who cares about correctness as much as speed, and wants to see the commercial impact of their code. Why DataSnipper? The hardest AI problems aren't about getting an answer fast. They're about getting one people can trust. We believe trust is essential to how society works. Every day, we rely on information that's been independently verified, from financial statements to the products we buy, to the sustainability claims companies make. Behind that trust are audit and finance professionals who examine evidence, verify information and hold organizations accountable. At DataSnipper, we build AI solutions that empower those professionals. By making evidence easier to trace and verify, we help them focus on the judgment and expertise that make their work so important. For our product and engineering team, this is where things get exciting. In audit, a plausible answer isn't good enough. Every output has to be explainable and traceable back to its source. We've just launched a brand new agentic platform, Alwin by DataSnipper. AI agents running in the cloud across hundreds of documents at once, reasoning across PDF, Word and Excel, with a full audit trail behind every step. There are lots of greenfield problems ahead, and real room to shape what we build and how we build it. And we build at scale. More than 600,000 professionals across 3,000+ organizations in 175 countries rely on DataSnipper, including Fortune 500 companies, government agencies and all Big Four audit firms. In 2025 alone, the DataSnipper platform delivered more than $1.4 billion in productivity savings to is customers . Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation, and as proud members of 1% for the Planet, we care about how we grow, not just how fast. If you want to build AI that professionals trust with work that really matters, this is your chance to help shape the future of audit and finance and do the best work of your career along the way. What You Will Do: Metering & Billing Build real-time usage metering and credit consumption for our agentic products, accurate down to the individual agent run Design pricing and rating logic that supports seats, usage, credits and enterprise contract terms without a rewrite for every new plan Integrate with billing, payment and finance systems (e.g. Stripe , CRM and ERP), and keep them reconciled Licensing & Onboarding Build the entitlements service that decides what every user and tenant can do, enforced consistently across the Excel add-in and Alwin Own the onboarding flow end-to-end: sign-up, trials, provisioning, SSO and SCIM, and the first-run experience Instrument activation and conversion, and work with Product and Design to remove friction Engineering & Collaboration Build systems where correctness is non-negotiable : idempotent, auditable, observable and secure Own it end-to-end , from design to production in our Python stack on Azure through to the web and add-in front ends. Anticipate issues, and shape the team's technical direction without waiting to be asked Influence across functions : partner with Product, Finance, Sales and Customer Success, using data and empathy to turn pricing, packaging and licensing decisions into robust implementation Raise the bar through code reviews, mentorship and clear, balanced feedback, and ask for the same in return What You Bring: Must-Have 6+ years in software engineering, with strong, production-grade backend experience (ideally Python ) Experience building billing, metering, licensing or entitlement systems in production Solid experience building data-driven web APIs and distributed systems on a major cloud platform A strong grasp of financial correctness : idempotency, consistency, reconciliation and audit trails Strong fundamentals in software architecture , system design and data modelling Product mindset: you care about activation, conversion and revenue as much as uptime Sound judgment under ambiguity: you balance speed and accuracy, stay calm when plans change, and reprioritise without being told Proficient with AI-assisted engineering (we use Claude Code) Excellent communication; you can work directly with Finance and commercial teams to define what "correct" means Nice-to-Have Usage- or credit-based billing in production, including AI token metering and cost attribution Billing and payment platforms (e.g. Stripe ), CRM (e.g. Salesforce ) and ERP integrations Identity and provisioning: SSO , SCIM , multi-tenant account models Product-led growth : self-serve sign-up, trials, in-product upgrades Revenue recognition, invoicing and tax basics Event streaming and high-volume data pipelines Scale-up experience, ideally in SaaS, fintech or audit tech What We Offer: Be part of one of the fastest-growing, profitable unicorn scale-ups in the Netherlands with a global impact Equity (Stock Appreciation Rights) to share the company's success and growth Pension plan with a 6% contribution on top of your base salary 28 vacation days per year (full-time) to support your work-life balance Hybrid work model with at least 3 days onsite in our dynamic Amsterdam office Daily, freshly prepared lunches by our in-house chef to keep you energized NS business card for easy commuting to the office if applicable Access to continuous learning and development initiatives to grow your skills Engage with a vibrant international team spread across five global offices Company-wide events like DataSnipper GO, where global teams come together Access to a mental health and wellness platform supporting your wellbeing Recruitment Process: Recruitment Screen (30 minutes, online) Hiring Manager Interview (30 minutes, online) Live coding Interview (75 minutes, online) System design interview (60 minutes, on-site) Final Interview (30 minutes, online) At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We are committed to building an inclusive workplace and providing every candidate with a fair and equitable hiring experience. Our hiring decisions are merit-based and grounded in the skills, experience, potential, and capabilities relevant to the role. We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you. What matters to us is what you can bring to the role, the team, and DataSnipper. 🚀 Find Jobs in Netherlands on Arbeitnow