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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

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You'll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system. In this position, you will be responsible for: Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation. We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). It would be a plus if you have: Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. Background in Software-Defined Networking (SDN) and experience with HPC cluster networking . Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow , and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We offer competitive salaries ranging from $170k-$300k + equity based on your experience. We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find more English Speaking Jobs in Netherlands on Arbeitnow

Kurzbeschrieb Du bist leidenschaftlicher Softwareentwickler und verfügst über solide Engineering Qualitäten. Zusammen mit deinen Teamkolleginnen und -kollegen analysierst, konzeptionierst und entwickelst du neue Funktionalitäten auf der Basis von aktuellen Technologiestandards. Bestehende Softwarekomponenten werden durch dich gewartet, ausgebaut und modernisiert. Du fühlst dich im Backend, Frontend sowie allenfalls auch im Web gleichermassen zu Hause. Pensum 80 bis 100 % Arbeitsort Baden-Dättwil / Homeoffice Eintritt per sofort oder nach Vereinbarung Deine Aufgaben Du übernimmst die Verantwortung für Kern Komponenten (Bsp. Workflow Engine), entwickelst diese weiter und stellst deren zuverlässigen Betrieb und die Integration in unsere Applikationen sicher Du entwickelst Features und Storys im Frontend sowie auch im Backend - beginnend beim Design bis zur Produktivsetzung Du arbeitest eng mit Product Owner und Tester:Innen zusammen, um nutzerfreundliche und performante Features für unsere bestehenden und neue Applikationen zu realisieren Du sicherst die Code-Qualität, Testbarkeit und Wartbarkeit durch Clean Code, automatisierte Tests und Code Reviews Das zeichnet dich persönlich aus Abgeschlossenes Informatikstudium FH/ETH oder gleichwertige Ausbildung mit mehrjähriger Berufserfahrung in der agilen Software-Entwicklung Du hast fundierten Kenntnissen in Java Technologien und verfügst über Erfahrung in der Entwicklung und Weiterentwicklung von Workflow-Lösungen Starkes Knowhow in den Themen: Architektur, Design-Patterns sowie modernen Software-Engineering Praktiken (Scrum, Clean Code, Clean Architecture...) Fundierte Kenntnisse im Bereich von Containerisierung, Cloud Technologien und DevOps Von Vorteil Kenntnisse im Bereich von Web-Applikation (Angular) im Java Umfeld Teamplayer mit guten Kommunikations- und Organisationsfähigkeiten Fachliches Know-how im Bereich BVG ist von Vorteil aber kein Muss Darauf kannst du dich freuen Auf dich wartet ein motiviertes Entwicklungsteam in einem stark wachsenden und dynamischen Unternehmen. Die aXenta AG offeriert dir den Freiraum für selbstständiges und kreatives Wirken in einem sehr kollegialen Umfeld, überdurchschnittliche Sozialleistungen, 27 Tage Ferien und ein attraktives Vergütungsmodell. Die fachliche und persönliche Weiterentwicklung der Mitarbeitenden ist ein wichtiges Anliegen und wird entsprechend gefördert. Bewerbungseingang Bereit für den nächsten Schritt? Dann freuen wir uns auf deine elektronische Bewerbung. Wir bevorzugen Direktbewerbungen. Find Jobs in Switzerland on Arbeitnow

About Rivia Rivia is a technology company building a data engine that powers the future of clinical trial intelligence. Rivia was founded on the belief that new drugs can be brought to market more successfully with a fraction of today's capital. Biotechs are the source of most therapeutic innovation, yet clinical development is constantly constrained by fragmented data and outdated tooling. Rivia unifies clinical trial data at scale through a core engine built as a reusable intelligence layer, comprising hundreds of configurations and trial-specific logic, independent of source structure. This vertical stack of data engine, workflows, and agents creates a distinct advantage in how trials are operated. Over the past two years, European and US based biotechs running global clinical trials on Rivia have demonstrated measurable impact, from earlier understanding of therapeutic potential to significantly more efficient trial execution. In March 2026, Rivia raised its $15M Series A led by Earlybird Venture Capital. Rivia's ambition is to become the standard infrastructure for modern drug development, transforming how trials are executed end-to-end. About AI Engineering at Rivia Given the highly complex nature of clinical trials and how they interface with our technology, the AI Engineering team at Rivia is pivotal in ensuring our clients achieve their desired outcomes and derive maximum value from our platform. The team designs and operates agentic, production-grade AI workflows that power critical monitoring, data quality, and insight-generation capabilities for clinical trial stakeholders.​ By building reliable, auditable, and scalable AI systems, AI Engineering helps transform fragmented clinical data into actionable intelligence and positions Rivia as the AI-first platform for clinical trial intelligence. The Role As a Senior AI Engineer at Rivia, you will architect and ship high-impact AI workflows that materially improve how clinical trial teams monitor studies, assess data quality, and make operational decisions.​ You will work as a key technical contributor embedded in product initiatives, owning AI features end-to-end from design and evaluation through to deployment, observability, and continuous improvement.​ The ideal candidate is a product-minded engineer who combines deep LLM and agentic systems expertise with strong software engineering skills, a bias to action, and a passion for turning cutting-edge AI into reliable, commercially impactful products in a complex, regulated domain. What excites you Being part of a collaborative startup where you can make a direct impact on the product, the business, and the team. Working in a fast-paced environment where you can leverage your AI engineering expertise to solve complex, real-world problems in clinical trials. Building AI systems that customers rely on for critical decisions, where trust, traceability, and auditability are essential. Owning outcomes end-to-end, driving clarity, momentum, and quality without heavy oversight, and continuously learning and experimenting in the rapidly evolving LLM landscape. Responsibilities Architect and ship production-grade agentic AI workflows, including tool use, orchestration, planning, memory, and structured outputs, for clinical trial intelligence use cases. Translate user workflows and product requirements into pragmatic, measurable AI solutions that work reliably in production and optimize for user and business value. Design and maintain evaluation pipelines, including gold sets, metrics, and experiments, and use them to drive iteration with rigor. Implement robust LLMOps practices, including tracing, monitoring, cost and latency management, safe deployment, and continuous improvement of AI systems in production. Design high-quality retrieval and context pipelines with strong guarantees on correctness, provenance, and auditability, particularly in regulated environments such as clinical trials. Collaborate closely with Engineering, Product, Design, Sales, and Customer teams to ensure AI features are usable, trusted, and commercially impactful. Stay deeply current with the LLM ecosystem, actively experiment with new models and tools, and translate innovation into practical product advantage. What Excites us Product mindset, with a demonstrated ability to translate user workflows into pragmatic, measurable AI solutions that work reliably in production Deep familiarity with the current LLM ecosystem and active experimentation with new models, tools, and techniques. Proven experience building and shipping production-grade AI or agentic systems, ideally in high-stakes or complex domains. Strong software engineering skills and comfort owning systems end-to-end, from design to deployment and maintenance. Experience going from 0→1 at a VC-backed startup or similarly fast-paced environment. Hiring Process Our hiring process takes 2-5 weeks over four distinct stages: Meet and greet: 30-minute call with the HR team to get to know each other. This is an informal chat. Technical Screening: 60-minute interview to delve into high-level technical concepts and your problem-solving approaches. Coding Interview: 60 mins with the team to assess your coding skills. Meet the team: 3-4 hours. Join us at our Zürich office for a visit that includes a team lunch and an in-depth technical interview to explore our mutual fit. Our Values At Rivia, we are committed to excellence, continuous learning, and the success of both our customers and our team. If you are driven to exceed targets, eager to shape the future of clinical trials, and passionate about making a meaningful difference in the biotech industry, Rivia is the place for you. In it to Win it: Approach every challenge with determination, resilience, and a drive, aiming for the best outcomes and solutions. Embrace change: We see change as an opportunity for growth, innovation, and improvement, continuously evolving to stay one step ahead Why not?: Asking why not, instead of why, allows us to show our curiosity, allowing us to challenge assumptions and explore new possibilities. Find the gap: We are curious and we proactively approach identifying opportunities and solving problems before they arise. Collective accountability: We are one team, on one mission and we are committed to shared responsibilities and mutual support, enabling trust and collaboration. Value add solutions: Know better. Act better. We are dedicated to delivering meaningful and impactful results. 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🧡 About Alma At Alma, we believe sustainable commerce depends on fair, well‑balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers. Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt. As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers. With 400+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started! 👐 About the team You will join the Checkout Experience squad within Alma's Consumer Tribe, reporting to Tetiana , Group Product Manager. The squad is composed of an Engineering Manager and several Software Engineers, and works on key parts of Alma's consumer checkout experience across online and in-store journeys. As a Senior Product Manager, you will join as an individual contributor and take ownership of strategic product topics spanning checkout conversion, account creation and identity verification. You will work at the intersection of consumer experience, merchant needs, business performance and regulatory requirements. This position is a permanent contract (CDI) based in Paris with a hybrid working model. 💼 About the job Make checkout simpler and more effective: Own and improve Alma's checkout experience across e-commerce and in-store journeys, reducing friction and supporting conversion. Turn complexity into trusted experiences: Own account creation and identity verification journeys, integrating KYC and CCD2 requirements into clear and seamless customer flows. Test, learn and repeat: Use funnel analysis, customer insights and experimentation to identify opportunities, measure impact and continuously improve the product. Make it happen together: Work with cross-functional stakeholders to prioritize the roadmap and balance consumer, merchant, business, risk and compliance needs. 🧰 You will work with Slack for day-to-day cross-functional communication Notion for product documentation, briefs and roadmaps Linear for backlog and delivery tracking Figma for product design Metabase and Looker for data analytics 🧩 About you To succeed in this job You have proven experience as a Product Manager working on checkout, e-commerce, payments or another high-volume consumer transaction experience. You understand conversion funnels and experimentation, and are comfortable using data to identify opportunities, define success metrics and prioritize initiatives. You can turn complex customer needs, business constraints and regulatory requirements into simple, intuitive product experiences. You demonstrate strong ownership, structured problem-solving and effective cross-functional collaboration, while using AI tools to improve your product work. And it will be nice if you... Have experience with account creation, identity verification, authentication, KYC or fraud prevention. Have built products in regulated environments, ideally within payments, BNPL, lending, consumer finance or another financial services context. Have worked on in-store, POS or omnichannel experiences. Have experience with European markets or an interest in emerging purchase journeys, including agentic commerce and AI-assisted transactions. Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience. 🧘 What's in it for you If you join, you will be able to grow and impact on: Drive measurable impact on Alma's checkout conversion across both e-commerce and in-store experiences. Own a strategic product scope at the intersection of checkout, payments, identity and regulation. Help shape the future of checkout, including new purchase journeys initiated by AI agents and LLM assistants. 🤑 Compensation & benefits Competitive salary based on 12 months Profit-sharing and employee savings plan Health insurance: 100% covered by Alma including family package Disability insurance: 100% covered by Alma Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) Meal vouchers: €10/day, 50% covered by Alma Mental health: free access to MindDay platform Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) Access to our Learning & Development Platform 2 weeks of full remote possible per year in summer 🎯 Interview Process Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. Case study presentation with 2 team members (ideally in house) to assess your practical knowledge. A coffee chat to further assess your skills and team fit. References check. 🌍 Diversity & Inclusion At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs. Find more English Speaking Jobs in France on Arbeitnow

Deine Rolle bei uns Als Head of Software Engineering (m/w/d) schaffst du die Rahmenbedingungen für exzellente Software Entwicklung. Du verantwortest die Weiterentwicklung unserer technischen Organisation, förderst technische Standards und entwickelst unsere Teams und Kompetenzen gezielt weiter. Dabei stellst du sicher, dass wir unseren Kunden qualitativ hochwertige, wirtschaftliche und zukunftsfähige Softwarelösungen liefern und unsere technischen Kompetenzen kontinuierlich weiterentwickeln. Aufgaben Du entwickelst die strategische Ausrichtung unserer technischen Organisation weiter und gibst unseren Engineering-Kompetenzen eine klare Richtung. Du stärkst unsere internen Softwareentwicklungs-, Architektur-, Cloud- und DevOps-Communities und entwickelst diese gezielt weiter. Du etablierst technische Standards und Best Practices, die Qualität, Skalierbarkeit und nachhaltige Softwareentwicklung fördern. Du schaffst Rahmenbedingungen, in denen unsere technischen Mitarbeitenden Verantwortung übernehmen, voneinander lernen und wachsen können. Du erkennst relevante Technologietrends frühzeitig und übersetzt sie in konkrete Mehrwerte für unsere Organisation und Kunden. Du arbeitest eng mit Management und technischen Expert:innen zusammen, um die Zukunft unserer technischen Organisation aktiv zu gestalten. Du sorgst für die richtige Balance zwischen technischer Exzellenz, Kundennutzen und Wirtschaftlichkeit. Qualifikation Du bringst ein breites technisches Verständnis mit und verstehst Architektur-, Qualitäts- und Technologieentscheidungen ausreichend tief, um die richtigen Fragen zu stellen und technische Teams wirksam auszurichten. Du hast bereits technische Teams oder Führungskräfte erfolgreich durch Wachstum und Veränderung geführt. Du schaffst es, unterschiedliche Interessen zusammenzubringen und Organisationen auf gemeinsame Ziele auszurichten. Du kommunizierst klar, triffst Entscheidungen und schaffst auch in anspruchsvollen Situationen Orientierung. Du verstehst Führung als Befähigung und förderst Eigenverantwortung sowie Ownership. Du behältst Kundennutzen, technische Qualität und Wirtschaftlichkeit gleichermaßen im Blick. Idealerweise kennst du die Anforderungen einer IT-Beratung oder eines projektorientierten Softwareentwicklungsumfelds. Du verfügst über sehr gute Deutschkenntnisse in Wort und Schrift (mind. C1). Benefits Flexible Arbeitszeiten und die Möglichkeit remote zu arbeiten Entwicklungsmöglichkeiten inkl. Übernahme von Weiterbildungskosten Flache Hierarchien und kurze Entscheidungswege Individuelle Entfaltung und ein respektvolles Miteinander Offene Unternehmenskultur, angenehme Arbeitsatmosphäre & regelmäßige Teamevents Langfristige Perspektiven, betriebliche Altersvorsorge & Krankenversicherung Mehr Work-Life-Balance durch eine Kooperation mit unserem Partner voiio Wahlweise Zuschuss zu Urban Sports Mitgliedschaft oder BVG-Ticket Inanspruchnahme von Rabatten über unseren Partner Corporate Benefits Find Jobs in France on Arbeitnow

Health can't wait . Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that's exactly how healthcare works today. You wait, until you can't. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it's coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It's not solely a question of willpower. It's the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture . We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. Mission Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to one day a week on IT support, seeing first-hand where friction lives and what's worth automating next. Scope ⚙️ Platform & automation Own and extend automations on Alan Home, our internal provisioning engine Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 Identity & access Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case Make employee lifecycle events reliable, fast and auditable end-to-end Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 Endpoint & SaaS security Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance Cloudflare WARP, SaaS security controls Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 Health Professionals IT The IT layer behind Alan's clinics: practitioner tooling, equipment, access Role and permission automation for healthcare professionals, and their support and escalation process 🌍 Internationalisation Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one Bring acquired entities onto that same platform Milestones First 3 months Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP Take one project end-to-end and ship a first increment Join the IT oncall team as technical escalation First 6 months Own a workstream end-to-end Deliver one automation or hardening initiative end-to-end Take up documentation and automation on your scope and reduce significantly the bus factor on it Mentor IT teammates on your core expertise First year Deliver measurable IT toil reduction on your scope Set the technical standards on your domain: how we build, document and review it Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) Contribute to hiring and onboarding new teammates 3 years Lead major projects end-to-end across several communities Be the reference the team relies on across at least two domains Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. What we're looking for Must-have - Technical/hard skills: 3+ years in IT engineering, platform, systems or corporate engineering , with real ownership of production-facing systems Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. You write code: not as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback Comfort with regulated environments: health data, ACPR, ISO 27001, HDS Automation & AI appetite : uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: Experience with an internal provisioning or IdP-driven automation platform Kandji or another MDM at scale Cloudflare Zero Trust / WARP, Datadog Audit remediation experience (ISO 27001, HDS) Multi-country rollouts, or IT integration after an acquisition Having mentored, coached or led a (small) crew Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French Compensation: €53K – €70K • €26K – €67K Equity • Level B1 - C1 €53K – €70K • €26K – €67K Equity Find Jobs in France on Arbeitnow

About The Opportunity We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches. Note this is a remote, freelance opportunity What You'll Deliver Task Engineering: Evaluating Coding Agents. Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. Prompting & Translation: finding failure points where AI does not work, in your native language Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary). Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus). Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity. Qualifications Experience: 1+ years of industry experience in software engineering. Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities. Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency. Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including: Encoding/decoding robustness and Unicode normalization. Locale-dependent conventions (collation, casing, non-Gregorian dates). Text I/O, toolchain interoperability, and safe string operations. (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. Why Collaborate with Lilt? Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. Work on projects that actually matter . Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. What to Consider Before Applying Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit. Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. How to join our expert community 1 - Submit your application including an updated copy of your CV in English 2 - Next, complete a GenAI assessment to evaluate your skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy . At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at ----- style="min-height:1.5em"> LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual's race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices. Find more English Speaking Jobs in France on Arbeitnow

About Orakl Oncology At Orakl Oncology, we are accelerating the development of oncology treatments. Today, fewer than 5% of new cancer drugs succeed in clinical trials. Clearly, new methods are needed. We combine cutting-edge biology and AI to build the next generation of insight platforms with the world's largest cohort of patient tumor avatars. These avatars fuel our AI-powered predictive engine , helping to anticipate clinical trial outcomes, validate therapies, and uncover new drug candidates. By generating multimodal, real-world data, we deliver insights that consistently outperform existing solutions. Our mission is simple yet ambitious: to bring more effective treatments to patients who need them and to make drug development smarter, faster, and more personalized. We collaborate with top hospitals, research institutes, and pharmaceutical companies worldwide. Backed by leading investors, we are a fast-growing, mission-driven startup at the intersection of science and technology. The role We are looking for a curious engineering mind to lead the scaling of Orakl's omics data within the Computational Biology team. Every organoid grown in our lab is sequenced (WGS and RNA-seq). Our pipelines turn the raw reads into processed molecular profiles, and our models turn those profiles into clinical trial predictions, patient segments and new target candidates. Your mission will be to make omics data available to computational biologists and research engineers in a form they can build on. You will gather their needs and, in coordination with the Data & Infra team, design the data representations, storage layouts and access patterns that make model training and experimentation fast and reproducible. As our biobank expands, this will become a massive omics corpus that must efficiently serve client contracts, strategic partnerships and internal R&D projects. Starting from processed omics data, you will assess how it is stored and served today, propose solutions to scale it, and drive their implementation, so our scientists and models can rely on it. You will build this hand in hand with our data engineering team, keeping our omics infrastructure consistent with the rest of the company's stack. You will report to the Head of Computational Biology. Experience with omics data is a strong plus, not a prerequisite. If you come from the conventional tabular data world and want to master data that is massive, multi-layered and regularly reprocessed, this role is built for you. What you will do Design and build the omics data architecture. Together with our data engineering team, define and evolve how omics data is stored as the corpus grows: what lives in a database, what stays in columnar files on S3, and how it all fits the company's stack. Guarantee reliable ingestion. Make sure every new batch of processed omics data (variant calls, expression, CNV, QC metrics, sample and sequencing tracking) lands reliably and consistently with our data model definition. Build and maintain the omics data model. Maintain a curated reference layer as the single source of truth, keep model-ready datasets derived from it separate, and track lineage between the two so every model input can be traced back to its source. Make the data easy to use. Build and evolve the access layer so scientists and models get what they need for client contracts, strategic partnerships and internal R&D, without writing joins or asking someone. What you bring Must-haves 4+ years as a data engineer, with ingestion pipelines you built running in production. Master's in Computer Science, Software Engineering, Data Engineering (or equivalent experience) Hands-on experience setting up and maintaining CI/CD for data pipelines and code libraries. Strong data modeling experience: you have designed schemas that handle evolving identifiers, versioning and lineage. Deep relational database expertise: schema design, partitioning, indexing, query plans, migrations on a live database. Deep cloud infrastructure skills: AWS (S3 and core services), infrastructure as code (Terraform or equivalent) and containers (Docker), with sound judgment on what belongs in a database and what stays in files. Strong experience in Python and SQL; comfortable with Git, CI and the command line. You can propose architecture choices, defend them and converge with engineering peers. A real drive to understand omics, including how our data is processed, so you can step in for our Senior Bioinformatician when they are away. Nice-to-haves Omics experience: you have loaded VCF/MAF files or expression matrices. Familiarity with Nextflow / nf-core pipelines. Columnar formats and engines (Parquet, Arrow, DuckDB) and an orchestrator (Dagster, Airflow, Prefect). Metabase or another BI layer on top of a relational database. LIMS or biobank sample-tracking integration. A tech-bio background, or prior work next to bioinformaticians. What we offer Mission: work in a cutting-edge environment, on the forefront of cancer research. Role: be the engineer behind the data backbone of a distinctive oncology discovery platform — designing, with our data engineering team, how one of the world's rarest PDO multi-omics and functional datasets is stored, served and scaled, so that scientists and models can build on it every day. Impact: take ownership of a critical piece of an early-stage, fast-moving company, with the opportunity to shape it; your engineering decisions will carry through to our science and, ultimately, to patient outcomes. Team: join a collaborative, multidisciplinary team where you'll work alongside stellar clinicians, biologists, and engineers towards a common mission. Interview Process Hiring Manager Call: Getting to know each other, aligning on expectations and context. Technical Deep Dive: A deep conversation on your experience with production data pipelines, data modeling, and scientific data processing. Technical Case: A system-design and problem-solving exercise representative of the real wet-lab data challenges you'll face at Orakl. Reference Call: A conversation with one or two people you've worked with closely. Founder Interview: A final discussion with our founders on vision, culture fit, and mutual ambitions. 👉 More about Orakl here and here Find more English Speaking Jobs in France on Arbeitnow