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About Customs Support Group Customs Support Group (CSG) is the European market leader in customs services, operating across 15 countries. CSG is owned by private equity and a fast-growing, dynamic, data-driven company, dedicated to expanding its presence through strong organic growth and strategic acquisitions. Its key priorities include digital transformation, operational excellence and customer experience, all aimed at driving growth and enhancing efficiency. The Role You will take our AI stack and lead its development and customisation for the market. This is a builder and do-er role. You will design, test and implement practical and compliant agentic AI solutions on top of foundation models document understanding, classification support, retrieval over our own procedures and tariff material, and agents that carry multi-step operational work end to end. You are not being asked to train models from scratch. You are being asked to make models that already exist behave reliably enough that operations staff trust them with customs declarations, where being wrong has consequences. Working closely with Operations, Transformation, IT and Group teams, you will turn business needs into scalable solutions. Key Responsibilities • Develop and customise AI solutions for the market, from prototype through to production ownership. • Be curious and prepared to self-learn to use generative-AI to build agents that make a difference to our business • Identify automation and decision-support opportunities across customs and business processes, and size them honestly before building. • Design solutions using generative AI and large language models — retrieval, tool calling, structured extraction from customs documentation, and agentic workflows where they genuinely fit. • Own the evaluation. Define how we know a solution is working before it ships, and how we know a change has not made it worse. This is treated as core to the role, not an afterthought. • Manage pilots and implementation, and set the criteria for killing a pilot as clearly as the criteria for scaling it. • Monitor performance, inference cost, latency and business impact. • Collaborate with local teams, Group functions and technology partners. • Contribute to privacy, security and AI governance compliance, working with Group Legal and IT Security. You should understand how the EU AI Act applies to what you build, and be able to produce the documentation that goes with it. . Requirements Essential • 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on. • Strong Python and SQL, with production code ownership. Not familiarity. • Demonstrable experience integrating large language models into production systems — prompt and context design, retrieval-augmented generation, structured output, and handling failure gracefully. • Practical experience with at least one major cloud AI platform (Azure AI, AWS Bedrock, or Google Vertex). • Solid full stack backend engineering fundamentals — APIs, data pipelines, testing, CI/CD. Most of this job is • Strong communication skills — you will spend real time with operations staff who are experts in customs and not in AI. • Professional fluency in English. Desirable • Evaluation engineering: building eval harnesses and regression suites for non-deterministic systems, LLM-as-judge approaches, and human-in-the-loop review design. This is the single strongest signal we look for and we will weight it heavily. • Context engineering: designing and version-controlling what a model sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. • Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. • Observability and cost control for inference at volume. What success looks like in your first year • By month three: You understand our customs processes well enough to challenge what we ask for, and you have shipped one small, useful thing. • By month six: At least one AI solution is live, measured against a baseline, and demonstrably better than what it replaced. • By month twelve: There is a working evaluation process others can use, a ranked pipeline of next opportunities, and at least two colleagues outside IT operating what you have built without you in the room. What We Offer • A key role in shaping AI capabilities. • The opportunity to build solutions with direct business impact, on real operational volume rather than pilots that never leave the lab. • An international and fast-evolving environment, with peers in other Customs Support Group markets working on the same problems. • Professional growth opportunities, including a budget for conferences, certification and model/compute costs for your own experiments. • Permanent role. Hybrid working. How to apply Send us your CV and a short note a few paragraphs is plenty describing one system you have put in front of real users. We are most interested in what went wrong with it and what you did about that. Find more English Speaking Jobs in France on Arbeitnow

At a glance Location: Cambridge In-office expectation: Once every two weeks Employment type: Permanent Salary: £55,000-£80,000 This role will be a mid or senior level engineer dependant on experience Why this role exists Redgate's Foundry is our innovation incubator, the team scanning the horizon for Redgate's next big opportunity. This role exists because that kind of work needs engineers who are genuinely excited by discovery: people who can form a hypothesis, test it fast, and make a clear-eyed call on whether to push forward or change course. Most ideas won't become products. That's by design. Each experiment sharpens our thinking and improves the odds of finding the one that will. If you're motivated by that kind of challenge, where the destination isn't fixed and the work is never the same twice, this is the role for you. About Redgate Redgate brings together people who want to do their best work in an environment built on trust, accountability, and collaboration. We build solutions that help data professionals securely manage the data and databases that their organisations depend on, a space that's only becoming more critical as systems scale, data regulations increase, and AI adoption accelerates. AI at Redgate By 2028, Redgate will operate as an expert plus agent company: domain experts amplified by AI, delivering customer value at a pace our peers can't match. AI handles the heavy lifting, and our people control the judgement. Everyone at Redgate works with Claude, giving you access to the best AI tools from day one. Why join our engineering team? You'll work in a team that cares about collaboration, craft and quality, not just in how we build, but in choosing what to build, finding the shortest path to the questions that matter most. There's real scope to grow your skills and impact, with clear pathways and support. We value sustainable delivery, good ways of working and time to improve how we build. About the role The Foundry operates differently to the rest of Redgate's product teams. You won't be handed a roadmap. Instead, you'll work across the full arc of innovation — from horizon-scanning and ideation through to early-stage research, rapid prototyping, and working directly with customers to validate what you're building. You'll be part of a small cross-functional team (a Tech Lead plus four to six Software and Machine Learning Engineers), and you'll regularly run projects in parallel: contributing to ongoing experiments while also exploring entirely new directions. The tech stack is deliberately varied, the right tool for the job, not a fixed list, spanning C#, TypeScript, Python, and more across desktop, web, API, database, and ML development. What makes this role different: You'll work on problems where there is no established answer and you'll have the autonomy to explore them seriously. Your work sits at the intersection of software engineering, customer insight, and product thinking; it's rare to find all three in one role. You'll use and help shape how Redgate adopts agentic coding and AI development tools, not as an afterthought, but as a core part of how the team works. The scope is genuinely broad: a typical day could see you balancing technical prototypes, customer interviews, and competitor teardowns. What makes you a great fit Proven experience using AI coding tools. You've used them extensively, understand their limitations, and have developed ways to work around them productively and safely. Strong software design and coding skills across modern languages, particularly C#, TypeScript, or Python, enough to guide and review AI-generated code with confidence. Hands-on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup principles to test assumptions and make clear decisions. Comfortable engaging directly with customers and stakeholders: running interviews, demos, and concierge-style validation processes, and communicating findings clearly to both technical and non-technical audiences. A product mindset; you think in terms of user value, outcomes, and market fit, not just features or technical delivery. What we offer · Salary range: £55,000-£80,000 · Hybrid working: home and Cambridge office · Monthly wellbeing allowance and generous paid time off · Genuine investment in learning, development, and career progression · Private health insurance See our full list of benefits here - Careers At Redgate - Benefits What happens next Your application will be reviewed by a person, we don't use AI or automated tools to assess applications. Every profile is read by one of our Talent Partners. You'll hear back within a few days, whether it's a next step or a no, we aim to respond promptly so you're not left wondering. Our interview process is straightforward and consistent, you'll find more detail on our typical hiring process below, so you know what's coming and why. Belonging at Redgate We believe that people do their best work in an environment built on respect, fairness, and trust and that diverse perspectives lead to better outcomes. Redgate is an equal opportunity employer, and we make hiring decisions based on skill, potential, and alignment with our values. Compensation: £55K – £80K • £55K – £80K Find more English Speaking Jobs in United Kingdom on Arbeitnow

At a glance Location: Cambridge In-office expectation: Usually once every two weeks, when your team is in Employment type: Paid internship, 10 weeks summer 2027 Why this role exists: To give people heading into their final year of university the chance to spend summer 2027 as a full member of one of our product teams, building software that database professionals around the world rely on. About Redgate Redgate brings together people who want to do their best work in an environment built on trust, accountability, and collaboration. We build solutions that help data professionals securely manage the data and databases that their organisations depend on. It's a space that's only becoming more critical as systems scale, data regulations increase, and AI adoption accelerates. AI at Redgate By 2028, Redgate will operate as an expert-plus-agent company: domain experts amplified by AI, delivering customer value at a pace our peers can't match. AI handles the heavy lifting. Our people control the judgment. Everyone at Redgate works with Claude, giving you access to the best AI tools from day one. Why join our software engineering team? · You'll join a product team as a full member, working on the same things as everyone else, not on a side project in a corner. · You'll work in a team that cares about craft, collaboration, and quality. · There's real support to grow, with your own intern manager for feedback and a buddy for everything else, plus protected time every week to learn and develop skills. About the role For 10 weeks, you'll work alongside our engineers on real software, shipping features that real customers use. You'll be part of the day-to-day life of the team, with the support and room to learn what a first role in software deserves. • Pair with engineers, get your code reviewed (and review theirs), and take part in standups, planning and retros. • Work on the same things as everyone else, using the same tools, including AI tools like Claude. • Spend every Friday afternoon (10% of your time) on learning, whether that's lightning talks, a community of practice or building something of your own. • Last year's interns merged code in their first week, shipped a feature customers had been asking for, fixed a customer support issue, ran team standups and retros, gave a talk to the wider company, and learned C# and .NET on the job to build their own project. "I didn't feel like an intern, I really felt like part of the team." Kris Sananpanichkul, past software intern What makes you a great fit You don't need to tick every box. We care more about how you communicate, learn and work with others than how many lines of code you write. • You expect to graduate in 2028 with a degree in a relevant subject, and you're available for the full 10 weeks. • You enjoy software and like figuring out how things work. • You communicate clearly, ask questions, and share what you learn. • You enjoy working as part of a team, including giving and receiving feedback. • You have the right to work in the UK (we can't offer visa sponsorship for the internship). How to apply No cover letter needed. Just send your CV that includes: • Education: your course and year of graduation • Work experience: anything relevant, if you have it. It's fine if you don't. • Something you're proud of: something you've built, fixed or figured out. It could be a uni project, a side project, a game mod, a Discord bot or a tricky bug. It all counts. • What you want from this: what you hope to learn or get out of the internship What happens next? Your application will be reviewed by a person. We don't use AI or automated tools to assess applications. Every profile is read by one of our Talent Partners. You'll hear back within a few days. Whether it's a next step or a no, we aim to respond promptly so you're not left waiting. Belonging at Redgate We believe that people do their best work in an environment built on respect, fairness, and trust, and that diverse perspectives lead to better outcomes. Redgate is an equal opportunity employer, and we make hiring decisions based on skill, potential, and alignment with our values. You can read more about how we approach belonging and inclusion at Redgate on our Diversity at Redgate Software . Find Jobs in United Kingdom on Arbeitnow

About SugarAI UK Limited SugarAI is redefining CRM for the age of AI. We're delivering on the original promise of CRM—turning fragmented customer and revenue signals into clear, prioritized action. Instead of more dashboards or surface-level insights, we help teams focus on what matters most and know exactly what to do next. More than two decades after our founding, we're entering a new chapter with clarity and momentum—building intelligent, intuitive solutions that work within the flow of how teams actually sell and serve. We're focused on solving complex, real-world challenges where relationships, context, and precision make all the difference. Our global team is united by a shared commitment to impact, ownership, and continuous growth. We create an environment where thoughtful ideas move quickly, where people are trusted to lead, and where flexibility supports how great work gets done. If you're excited to help shape what's next in AI-driven CRM—and build technology that drives real outcomes—we'd love to meet you. Impact You Will Make in the Role (Key Responsibilities): Lead, coach, and develop a team of software engineers through structured 1:1s, career development planning, performance feedback, and clearly set expectations, owning the full people management cycle including goal-setting, reviews, promotions, and compensation conversations. Rebuild team culture from the ground up, establishing psychological safety, accountability, and a genuine appetite for continuous improvement, identifying root causes of underperformance rather than addressing symptoms. Own delivery by introducing and maintaining effective operating rhythms, removing blockers systematically, and bringing rigour to planning and sprint health using metrics including velocity, cycle time, throughput, and defect rates. Be the technical conscience of the team, setting and enforcing engineering standards across code quality, testing, reliability, and maintainability, reducing technical debt strategically, and providing hands-on technical guidance. Lead the adoption of AI-first ways of working, introducing generative AI tooling into the engineering workflow and helping engineers understand and embrace their role as orchestrators in a spec-driven development environment. Develop multidisciplinary engineers by actively breaking down silos between front end, back end, data, and QA, building development plans that broaden capability and reduce single points of failure across the team. Partner with product and wider stakeholders to align engineering delivery with business priorities, communicating progress, risks, and trade-offs clearly and ensuring engineering has a credible voice in strategic conversations. What You Will Bring (Qualifications/Experience): 5+ years of direct engineering management experience with a track record of developing individuals, managing performance, hiring talent, and building high-functioning teams. Proven experience leading a team through a period of significant change, whether through a merger and acquisition, organisational restructure, or a turnaround from low morale and underperformance. Strong technical credibility with a background in software development, sufficient to guide architectural decisions, set engineering standards, and earn the genuine respect of the engineers you manage. A clear and well-formed point of view on the future of software engineering, including AI-first development, spec-driven workflows, and the evolving role of the engineer. Fluency in engineering metrics and delivery operations, with a clear understanding of the relationship between capacity, velocity, and throughput and the ability to use data to drive decisions. Strong communication across audiences, able to hold a room of engineers and a room of senior stakeholders with equal confidence, translating between technical complexity and business context. Preferred Qualifications/Experience: Experience in post-merger or post-acquisition engineering environments where you have rebuilt culture and operating practice from a difficult starting point. A demonstrated track record of moving teams from siloed, specialist working towards cross-functional, multidisciplinary delivery. Measurable outcomes in team health, delivery predictability, or engineering effectiveness, with the data to support them. Experience introducing generative AI tooling into an engineering team and navigating the human side of that change alongside the technical implementation. We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a fluid and collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is close to what we're looking for. We also know that diversity of background and thought makes for better problem solving and more creative thinking, which is why we're dedicated to adding new perspectives to the team. We use artificial intelligence (AI) tools to support our recruiting process, including scheduling, candidate search, prioritization. AI does not make hiring decisions or automatically reject candidates; those decisions are made by people at SugarAI. Benefits and Perks: Beyond a stellar work environment, friendly people, and inspiring work, we have some sweet benefits and perks: · UK Pension Scheme · Private medical and dental insurance · Health &Wellness Reimbursement Program · Unpaid sabbatical leave · Educational Resources - Career & Personal Development Program · Various discount programs (i.e. travel, virtual exercises classes, etc.) · We are a merit-based company with many opportunities to learn, excel and grow your career! #LI-Hybrid Find more English Speaking Jobs in United Kingdom on Arbeitnow

The opportunity We're a stealth startup in AI and bio, building infrastructure for data generation. The team is small and elite, the problems are hard, and the foundations are being laid right now. You'd help write them from the first line, with ownership and a direct line to the founders. You'll help make sure laboratory teams have the consumables they need, when they need them. You'll have a say in the software they use to manage stock, and learn to use AI to make everyday purchasing and inventory work easier. About us AI for biology has a data problem. The data that matters most doesn't exist yet, so we're building the infrastructure to produce it, with quality and traceability built in from day one. We're in stealth and heads-down on execution. We'll share more about what we're building once you've spoken with the team. The role This is a hands-on, early-career role within our Infrastructure team. You'll manage day-to-day consumables purchasing, receive deliveries and keep stock records accurate, with training and guidance from your manager and laboratory colleagues. As you learn the work, you'll organise your day independently and follow issues through to resolution. You'll work with laboratory teams to understand demand, place orders within agreed budgets and approvals, and chase delays before they disrupt work. You'll maintain supplier prices and lead times, flag supply risks and get laboratory approval for any proposed substitutions. At goods receipt, you'll check orders against deliveries, including quantities, condition and relevant batch, expiry and temperature requirements. You'll record receipts promptly, route goods to the right storage and resolve discrepancies. You'll help physically set up storage areas, organise stock into defined bin locations and label and barcode those locations so they match the inventory records. You'll record stock movements and investigate differences found during stock counts. With guidance, you'll propose reorder points and buffer stock using consumption, lead times and planned activity. You'll track expiry dates, prioritise the earliest-expiring stock where appropriate and maintain consistent item codes, units and pack conversions. You'll document procedures, follow safety and quality requirements, and segregate items awaiting review. Regular updates on supply risks and stock accuracy, together with reliable receipt records, will help colleagues in the lab and finance. You'll work directly with software engineers to shape the inventory tools you use every day. You'll bring ideas from the lab, explain what needs to work differently and test new features against real tasks. Your input will help decide what gets improved, with your manager and the software team leading priorities, design and development. You'll also learn to use AI-assisted workflows for tasks such as reviewing inventory data and preparing routine updates, then help refine those workflows as you find better ways to work. Training and support will be part of the role. Your first 90 days FIRST 30 DAYS ◆ Learn the consumables, storage requirements and approval processes with laboratory colleagues. Take on routine ordering and goods receipt with support. ◆ Check stock records against physical inventory and map the journey from purchase request to use. Agree a practical storage layout and bin-location scheme with laboratory colleagues, taking account of access and storage requirements. DAYS 30 TO 60 ◆ Run routine ordering, receipts and stock counts independently within agreed processes. Keep colleagues informed of shortages, overdue orders and expiring stock. ◆ Physically set up and organise the agreed storage areas, label and barcode bin locations, and link them to inventory records. Propose replenishment settings with your manager and laboratory colleagues, and document how stock is stored and moved. Turn recurring problems into examples for the software team. DAYS 60 TO 90 ◆ Check that colleagues can find, receive and return stock using the labelled and barcoded locations. Resolve gaps in the layout or records, and refine replenishment to reduce avoidable shortages and waste. ◆ Test available inventory features against everyday tasks and help colleagues adopt improvements. With support, try an AI-assisted workflow for a routine task, check its outputs and suggest how to improve it. Who you are You're proactive, organised and attentive to detail, and you enjoy practical work where accurate records have visible consequences. When a problem arises, you flag it promptly and investigate practical solutions while keeping colleagues informed. You act within agreed processes, bring options when a decision needs support and follow the issue through to resolution. Your experience may come from inventory, purchasing, logistics or laboratory operations, including an apprenticeship or placement. A scientific degree and coding experience are not required. We welcome transferable experience with physical stock and time-sensitive supplies. You're willing to help beyond a fixed task list as the team grows, while using judgement about when to escalate. Nobody arrives with every part of this role. If you are strong in most of it and quick to learn the rest, we want to hear from you. MUST HAVE ◆ Practical experience of inventory, purchasing, goods receipt, logistics or laboratory operations. ◆ Careful record-keeping and an organised approach to checking deliveries, prioritising work and following actions through. ◆ Confidence with digital tools and a willingness to learn to use AI, check its outputs and improve recurring workflows over time. Prior AI expertise is not required. ◆ Clear communication with suppliers and colleagues, including explaining an operational problem to a software developer. NICE TO HAVE ◆ Experience with laboratory consumables or expiry-sensitive and temperature-controlled stock. ◆ Familiarity with inventory or ERP systems, barcode-based stock control, or testing new software. Why this is unusual Alongside keeping supplies moving, you'll help shape the software and AI-assisted workflows that make the job easier. You'll work with engineers to turn a stock discrepancy or awkward receiving step into a better tool, then see whether it works in practice. You'll build experience in improving systems as well as running the day-to-day operation. You'll have support as you learn, and room to contribute ideas from the start. Some people find that mix energising; others prefer a more settled routine. It is worth knowing which suits you. How we work This role is primarily on-site in King's Cross, London, typically four to five days a week, because deliveries and physical inventory need someone there. The wider team is distributed, so we write things down and keep colleagues informed. We start the week with an all-hands and share written updates. We give feedback directly and expect good ideas to be challenged on their merits, whoever proposes them. UK benefits include 30 days of annual leave plus public holidays, a pension with a 10% employer contribution after a three-month deferment, and Bupa private health cover. The team you will join You'll join the Infrastructure team and work closely with laboratory colleagues, software engineers and finance. Your manager will help set priorities and support decisions on inventory planning and wider process changes. You'll bring the day-to-day operational view into those discussions. Our process We start with a short screening conversation, followed by a behavioural interview. We'll ask for examples of how you've spotted a problem, kept others informed and taken practical steps to solve it, including when you sought support. Next comes a role-specific work sample and a discussion of how you approached it, followed by references. We'll explain the assessment format in advance, and you'll meet us in person before any offer. If the role interests you, apply through the person who introduced you or the recruiter who shared it. If you're unsure whether you meet every requirement, we still want to hear from you. We are an equal opportunity employer. We make hiring decisions on merit, scope-fit, and the strength of the working relationship we expect to build with each hire. Applications welcome from candidates of any background. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and merchants every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo's (& Doordash's) growth at scale. We're looking for a Staff Software Engineer to join our Event Streaming Systems team. This is a hybrid role. In this role, you'll provide technical leadership for the event streaming infrastructure that powers business-critical workflows across Deliveroo, DoorDash and Wolt. You'll help define the long-term direction of our messaging and streaming platforms, lead high-impact technical initiatives across teams, and raise the reliability, scalability and operational excellence bar for Tier-0 infrastructure. What You'll Be Doing You'll be joining the Event Streaming Systems team within the broader Storage organisation. The team builds and operates highly reliable, scalable and efficient event streaming infrastructure, including Kafka, Event Streaming abstractions (internally called EventBus), messaging platform capabilities, and future streaming technologies. The team also partners closely with Database Reliability, Storage, SRE, Data Platform and Core Infrastructure teams to ensure our most critical data and messaging systems remain reliable, operable and cost-efficient at global scale. These systems support Tier-0 workflows and are foundational to how engineering teams build reliable, event-driven products at scale. Here's what your day-to-day might look like: Define and drive the technical vision and roadmap for our event streaming and messaging platforms, balancing reliability, scalability, cost, operability and developer experience. Lead team-level and cross-team initiatives for Kafka, EventBus and related streaming infrastructure, from ambiguous problem definition through architecture, delivery, rollout and adoption. Act as a trusted technical advisor for Kafka, messaging, storage-adjacent and DBRE-related platform decisions across Deliveroo, DoorDash and Wolt. Design durable, extensible systems and platform capabilities that can be leveraged by other engineers and teams, reducing duplicated effort and operational risk. Lead the resolution of complex distributed systems problems, including reliability incidents, performance bottlenecks, capacity constraints, data-safety risks and production-operability gaps. Raise the operational excellence bar for Tier-0 infrastructure through observability, automation, incident response, runbooks, operational readiness and continuous improvement. Proactively build alignment with partner teams, including EventBus, Storage, DBRE, SRE, Data Platform and Core Infrastructure, shaping joint goals and mitigating cross-org delivery risks. Mentor and grow engineers through technical guidance, design, feedback, code review, incident review facilitation and knowledge-sharing across the engineering community. Evaluate emerging streaming, storage and automation technologies, including AI-enabled operational tooling where appropriate, and champion pragmatic adoption where they can materially improve quality, velocity or efficiency. What You'll Need to Thrive Our ideal candidate will bring deep expertise in several of these areas and the judgment to lead others through ambiguity: Significant experience building, operating and evolving distributed systems in production, ideally for platform or infrastructure teams supporting critical workloads. Deep hands-on experience with Kafka or comparable event streaming systems as a platform, infrastructure service or business-critical production dependency. Strong technical leadership skills, with a track record of defining technical direction, shaping roadmaps and leading multi-engineer or cross-team initiatives. Ability to make and own technical decisions in ambiguous situations, using data, operational signals, customer needs and long-term system health to guide tradeoffs. Strong coding ability in Java, Go, Python or similar languages, with a focus on reliable, maintainable, observable and scalable production systems. Experience improving production reliability through automation, observability, capacity management, incident response, operational readiness and sustainable on-call practices. Strong distributed systems fundamentals, including Linux, networking, storage, JVM-based systems, fault tolerance, backpressure, capacity planning and performance tuning. A force-multiplier mindset: you create leverage through reusable technical foundations, clear documentation, strong engineering practices, mentoring and removing single points of failure. Strong communication and stakeholder management skills, with the ability to influence platform, infrastructure, product and reliability teams without relying on authority. Nice to have Experience contributing to Kafka or related open source distributed systems. Experience with Redpanda, WarpStream, AutoMQ, Pulsar or similar streaming technologies. Experience with JVM tuning, diskless streaming architectures or multi-region event streaming platforms. Experience operating Tier-0 infrastructure at large scale, including incident leadership and post-incident improvement programs. Experience with database reliability, storage systems, data platforms or DBRE practices in addition to event streaming. Experience using automation or AI-assisted operational tooling to improve reliability, developer experience or incident response quality. Why Join Us? At Deliveroo (Doordash), you'll do work that matters, solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale. Work on complex, always-on infrastructure that impacts millions every day. 🌱 See your impact, fast. Shape the direction of foundational platforms used by teams across Deliveroo, DoorDash and Wolt. 🧠 Grow through challenge and ownership. Lead ambiguous, high-impact technical problems with strong support from peers and leaders. 🌎 A culture built for builders. High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create. Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine. Our interview process typically includes 3–4 stages. Explore our Engineering Interview Guide to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale and ambition. Depending on your role, you may collaborate with teammates, systems and leaders across DoorDash and Wolt. Together, we're unlocking new possibilities as one global team. #LI-LW1 Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We're committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you'll have the opportunity to let us know once you've submitted your application. We'll share details on how to request support so we can ensure you have a fair and equitable experience. If you're excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we'd love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness . Find more English Speaking Jobs in United Kingdom on Arbeitnow

XTP is a specialist consultant focusing on transparency, cost, and risk. For more than 20 years we have helped institutional investors to get the most from their current investment set-up and enhance investment governance. We have a proven track record of increasing implementation efficiency in public and private market assets from clients across Europe and the USA. We are a data-driven organisation with a highly experienced team of more than 50 senior industry specialists, quantitative analysts, and software engineers. Technology is a fundamental component of how we operate and underpins our ability to deliver superior outcomes. XTP is building an international culture where our team feels empowered, responsible, and valued. We can offer you access to bright-minded people, the environment to develop your knowledge further, and a platform to make a difference in financial services in public and private markets. Tasks Improve cost efficiency and ensure contract compliance in our clients' private market portfolios (Private Equity, Private Debt, Infrastructure, Real Estate). Create cost transparency by conducting commercial due diligence and forensic projects. Interpret legal documents on the fund and portfolio level to determine their economic impact from our clients' perspective. Synthesize your results in presentations and hold those in front of our clients and their asset managers. Help us to take our analytics tools, internal processes, and benchmarking databases to the next level. Grow with us and take over more project and business development responsibilities. Requirements Consultant in a top management consulting firm with a proven track record and strong quantitative skills who wants to travel less. Previous working experience in private markets, and/or in technology-driven businesses is a plus. Intrinsic motivation to tackle and solve complex problems at the intersection of finance and law. You consider precision as a principle, not as a burden. Ability to constantly challenge tools, processes, and their results to take them to the next level. Self-driven, very well organized, and a results-oriented team player. Strong academic background from leading universities in business or finance. Highly proficient in German and English. Benefits Flexible working arrangements, trust-based vacation time. Mentoring, internal and external training – tailored to your specific needs. Support in obtaining additional qualifications and certificates relevant to our business. Competitive compensation, optional pension scheme. Team of bright-minded people, open and supportive culture. International culture where the team feels empowered, responsible, and valued. Opportunity to grow with the company and leave your footprints. Become part of our vision and actively reshape the future of capital investment with us! Find Jobs in Germany on Arbeitnow

Company overview: Machine Learning Reply provides customized end-to-end solutions in the data science field that cover the entire project life cycle - from initial strategic consulting to data architecture and infrastructure topics, through to data processing and quality assurance using machine learning algorithms. We enable our customers to successfully implement new data-driven business models as well as optimize existing processes and products, with a focus on open-source and cloud technologies. We are looking for a skilled and motivated consultant to join our team. The ideal candidate should have a technical background and be able to provide support to our clients in using cloud-based solutions. We are looking for someone who has a solid understanding of Software Development, has an interest in Cloud-based Solutions, and shares our passion for Data and AI. Responsibilities : Research and prototype new ideas for disrupting day-to-day operations & create new value for our clients across all industries Implement customer-specific use cases and guide our client through the entire lifecycle from creative workshops to implementation Apply your skills to help our clients improve their data usage through data modeling & data visualization Develop data science use cases Develop and coordinate infrastructure projects (e.g., the introduction of cloud data lakes & data warehouses) Research and prototype new ideas for disrupting day-to-day operations & create new value for our clients across all industries What we offer you: Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc . ) Broaden your skills through interdisciplinary work and training in the areas of data engineering, software engineering, cloud architecture, and data science Benefit from industry-leading cooperations Very active social program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons Work in an open, flat environment, within a broad Reply knowledge-sharing network Award-winning office space in downtown Munich with access to "Stammstrecke" Public transport ticket with Deutschlandticket Gym-membership subsidy for a gym of your choice Flexible work environment between client, Reply office, and remote work Job requirements Minimum Job Requirements / Qualifications : Experience and/or interest in the area of artificial intelligence. Experience in relational databases & knowledge of SQL. Experience in at least one additional programming language (e.g. Python, Java, …). Experience using LLMs (Agents, RAG, VectorDBs, …). Knowledge of visualization and frontend technologies strongly preferred. Bachelor's and Master's degree and a strong quantitative background , for example, in Business Informatics, Business Science (with an additional background in Informatics), Computer Science, or Data Science. Fluent in English and able to speak German at least at a C1 Level. This requirement is mandatory . Desired : Experience in cloud infrastructure development and management Experience in the consulting industry Knowledge of technologies like Kubernetes, Docker, or Spark is a plus . Interest in (agile) project management. What are you waiting for? Join our team at Machine Learning Reply as a Consultant in Munich or Berlin ! Find more English Speaking Jobs in Germany on Arbeitnow

We are looking for a skilled and motivated Consultant to join our team. The ideal candidate combines strong software engineering expertise with hands-on experience in modern AI systems, including agentic AI and generative AI applications. You will support our clients in designing and building intelligent, production-ready systems that leverage LLMs, autonomous agents, and scalable cloud architectures. Responsibilities: · Design, build, and deploy scalable, production-grade systems on cloud platforms such as AWS, GCP, or Azure. · Develop and operate agentic AI systems, including multi-step workflows, tool integration, and autonomous decision-making components. · Lead end-to-end implementation of AI-driven features, from prototyping (PoC) to production deployment. · Build high-performance APIs and backend services for AI applications using frameworks such as FastAPI, Flask, or Spring Boot. · Integrate generative AI solutions (LLMs, vector databases, RAG pipelines, orchestration frameworks like LangChain/LangGraph) into enterprise environments. · Design and implement robust orchestration and retrieval pipelines for scalable AI applications. · Set up and maintain MLOps / LLMOps pipelines and CI/CD workflows for continuous integration, evaluation, and deployment. · Ensure software quality through testing, monitoring, observability, and performance optimization. · Collaborate closely with clients and cross-functional teams to identify requirements and deliver impactful AI solutions. What we offer you: · Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.). · Expand your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI. · Collaborate with top technology partners in the cloud, AI, and automation ecosystem. · Access to training, certifications, and interdisciplinary projects. · Join a vibrant community with hackathons, conferences, and knowledge-sharing events. · Award-winning office space in downtown Munich with great transport connections. · Flexible working model between client site, Reply office, and remote work. Deutschlandticket for public Job requirements Minimum Qualifications: · Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar). · Ideally, you have already gained some initial consulting and project management experience Teamwork & Collaboration – ability to work effectively with others toward common objectives. · Adaptability – flexibility in taking on different roles within a team and understand the need of the costumer · Solid programming experience in at least two programming languages such as Python, Java, Rust, or JavaScript. · Practical experience deploying ML/AI models into production environments (on-premises or cloud). · Experience with different database technologies, including SQL and NoSQL, with knowledge of database design, data modeling, and data management. · Experience with large language models (LLMs), prompt engineering, fine-tuning, and integrating generative AI into actual solutions. · Strong communication skills for explaining technical concepts to both technical and business stakeholders. · Fluent in English and at least C1-level German. This requirement is mandatory. Desired Qualifications: · Hands-on experience with cloud AI services. · Understanding of MLOps concepts (model registry, monitoring, CI/CD). · Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs. · Awareness of software engineering principles (SOLID, testing, version control). · Familiarity with containerization and orchestration (Docker, Kubernetes). · Cloud certifications are a plus. · Teamwork & Collaboration – ability to work effectively with others toward common objectives. · Adaptability – flexibility in taking on different roles within a team and understand the need of the costumer What are you waiting for? Join our team at Machine Learning Reply as a Consultant for Software Engineering and AI in Munich or Berlin! Find more English Speaking Jobs in Germany on Arbeitnow

About Tensordyne (formerly Recogni) AI is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence! Role summary How much numerical precision does an LLM need, and where in the model architecture does it matter most? When does quantization improve runtime, and what does it cost in model quality? We're looking for a motivated working student to help turn these questions into experiments and experiments into maintainable code. You'll explore optimization methods and build reusable evaluation tooling. You'll work closely with our quantization, compiler, and runtime engineers, and your findings will directly influence how we optimize models for Tensordyne hardware. What you will do Model quality evaluation: Measure how low-precision computation affects performance on coding and reasoning benchmarks. Diagnose where quantization has the greatest impact. Quantization research: Implement and compare post-training quantization methods to improve inference efficiency while preserving task accuracy. Build reproducible tooling: Automate evaluations, track configurations and results, and make experiments accessible to engineers and AI agents. Measure runtime performance: Characterize latency, throughput, and memory usage to understand bottlenecks under different deployment scenarios. A first project could involve exploring the quality–performance Pareto frontier of a Qwen or LlaMa model. You'll experiment with 16-bit, 8-bit, and 4-bit quantization configurations to find the best runtime-quality tradeoff. Core qualifications Current enrollment in Computer Science, Mathematics, Electrical Engineering, Machine Learning, or a related master's degree program. Strong Python and PyTorch skills, including the ability to understand and modify model implementations. Effective use of AI coding tools and critical review of their output. An experimental mindset: you can formulate hypotheses, design comparisons, and draw careful conclusions from noisy results. Clear communication and the ability to present experimental findings and technical tradeoffs to the team. Strong pluses: experience with quantization, LLM evaluation, performance profiling, or inference optimization. This role is for you if you thrive on responsibility, learn quickly, and are naturally proactive . What we offer Join a deep-tech team building the next generation of AI inference systems. Put your university knowledge into practice with leading open-source LLMs, deepen your understanding of quantization and inference optimization, and build skills in experimental design, software engineering, and AI coding tools. You'll own a focused project, receive close mentorship from experienced engineers, and have room to explore ideas that shape our optimization methods. Tensordyne's culture was built on the following values Put people first. We only succeed when our people succeed. Ethics and integrity always. Be open, honest, and respectful of everyone. Think Big. Be ambitious and have audacious goals. Aim for excellence. Quality and excellence count in everything we do. Own it and get it done. Results matter! Make each person better together than they would be as an individual. Embrace each other's differences, and embrace that there will be differences. Tensordyne is an equal opportunity employer. We believe diverse teams are better equipped to solve complex problems and build exceptional technology. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. A note to recruitment agencies: Please do not contact Tensordyne employees or leaders regarding this role. We do not accept unsolicited agency resumes and are not responsible for fees associated with unsolicited submissions. Find Jobs in Germany on Arbeitnow

Kurzprofil der Rolle Wir suchen eine:n Senior Full Stack Software Engineer (w/m/d) mit starkem Fokus auf Web-Produktentwicklung und AI/LLM-Integration. Du baust unser Team langfristig technisch mit auf und gestaltest unsere GovTech-Plattform für öffentliche Verwaltungen mit. Standort: Remote-first aus Deutschland oder Österreich (mit gelegentlichen Teamtreffen nach Absprache und der Möglichkeit der Nutzung von Büros in Garching) Start: Voraussichtlich ab 01.01.2027; den Einstiegstermin vereinbaren wir flexibel mit dir. Vergütung: Gehalt nach Erfahrung und Expertise; Bonuszahlungen vorgesehen, Mitarbeiterbeteiligungen möglich. Gesetzlich geforderte Information für Beschäftigung mit Arbeitsort Österreich, absolutes Mindestgehalt: In Österreich beträgt die Mindestvergütung auf Basis des IT-KV 2026 ab 4.061 € brutto monatlich bei 38,5 Wochenstunden, zuzüglich Sonderzahlungen. Das individuell geltende Mindestentgelt ergibt sich aus der Einstufung und den anrechenbaren Vordienstzeiten. Wir sind ausdrücklich bereit, über diesem Mindestentgelt zu bezahlen. Über uns Lexaru ist ein junges GovTech-/LegalTech-Startup, das Verwaltungsprozesse mit modernen Anwendungen digitalisiert. Unsere Produkte unterstützen Sachbearbeiter:innen im Verwaltungsalltag und tragen zu effizienter Verwaltung und besseren Services für Bürger:innen bei. Wir entwickeln Fachanwendungen für Kommunal- und Landesverwaltungen und verbinden moderne Produktentwicklung mit KI-gestützten Funktionen in sicheren und nachvollziehbaren Systemen. Unterstützt werden wir unter anderem durch das Legal Tech Colab der TU München und die Plattform AI Nation. Was wir dir bieten Du arbeitest remote-first mit kurzen Entscheidungswegen und direktem Austausch mit den Gründern. Du bringst eigene Ideen ein, übernimmst Verantwortung für deine Themen und gestaltest gesellschaftlich relevante Produkte für die öffentliche Verwaltung mit. Wir unterstützen deine fachliche und persönliche Entwicklung durch praktische Erfahrung, regelmäßiges Feedback und eigene Projekte. Deine Entwicklung gestalten wir gemeinsam mit dir – durch technische Spezialisierung, wachsende Verantwortung oder Führungsaufgaben. Deine Aufgaben Produkt & Entwicklung Du entwickelst Full-Stack Features und vollwertige interne Tools von der Idee über Architektur, Implementierung und Testing bis zum Rollout. Dazu gehören die Gestaltung einfacher UI/UX und das notwendige Backend Engineering. Du baust schnelle MVPs und entwickelst ausgereifte Funktionen für den produktiven Einsatz. AI / LLM Du konzipierst und entwickelst LLM-basierte Funktionen und agentische Workflows und integrierst sie in unsere Produkte. Dabei nutzt du Prompt- und Context Engineering, RAG, Tool Calling und strukturierte Modellausgaben. Du triffst Architektur- und Modellentscheidungen, entwickelst geeignete Evaluierungen und stellst durch Guardrails, Logging und Monitoring einen zuverlässigen Betrieb sicher. Qualität, Laufzeit und Kosten verbesserst du anhand messbarer Ergebnisse. Architektur & Betrieb Du wirkst an der Architektur unserer Plattform (Services, Datenmodell, Security) mit, verantwortest gemeinsam mit uns Deployment, CI/CD und Monitoring und achtest auf Security, Performance, Kosten und Stabilität im produktiven Betrieb. Zusammenarbeit & Produktdenken Du arbeitest eng mit den Gründern und Kunden zusammen, übersetzt Nutzerbedürfnisse in technische Lösungen und klare User Stories und bringst eigene Ideen ein. Du wirkst an der Priorisierung mit und triffst pragmatische technische Entscheidungen. Dein Profil Das bringst du mit Du hast mehrjährige Erfahrung in professioneller Full-Stack Produktentwicklung. Als Richtwert gelten vier oder mehr Jahre. Auch mit weniger Erfahrung freuen wir uns auf deine Bewerbung, wenn du uns von deiner Expertise überzeugst. Du verfügst über sehr gute Kenntnisse in TypeScript und modernen Frontend-Frameworks, idealerweise Svelte oder Vue. Du verfügst über sehr gute Kenntnisse in modernen Backend-Technologien wie Node.js oder Django. Du hast Erfahrung mit relationalen Datenbanken, idealerweise PostgreSQL, einschließlich Schema-Design und Grundlagen der Performanceoptimierung. Du hast praktische Erfahrung in der Entwicklung und im Betrieb LLM-basierter Anwendungen, einschließlich RAG, Tool Calling und strukturierter Modellausgaben. Du kannst KI-Workflows eigenständig entwerfen, integrieren und ihre Qualität durch systematische Evaluation und Fehleranalyse weiterentwickeln. Du arbeitest strukturiert und zuverlässig, kommunizierst klar und bringst Aufgaben zu Ende. Du bringst eigene Ideen ein und übernimmst Verantwortung für deine Themen. Du möchtest verstehen, wie Fachverfahren in Verwaltungen funktionieren, um sinnvolle UIs und Nutzerflüsse zu bauen. Du kannst in einer frühen Phase mit wenigen Prozessstrukturen selbst priorisieren und Entscheidungen treffen. Du führst saubere Dokumentation, zum Beispiel Architektur-Notizen, ADRs und Onboarding-Docs. Du verfügst über ausgezeichnete Deutsch- und Englischkenntnisse. Unser Bewerbungsprozess Wir gehen den Bewerbungsprozess Schritt für Schritt mit dir durch. Du weißt dabei immer, wo du gerade stehst und was als Nächstes folgt. Bewerbung über das Formular Kurzes Kennenlernen – remote, ca. 20 Minuten Take-Home Case – remote, ca. 120 Minuten Nach erfolgreicher Bewertung deiner Bewerbung laden wir dich ein, einen vertraulichen Take-Home Case zu bearbeiten. Technisches Gespräch über deinen Case – remote, ca. 90 Minuten In einem zweiteiligen Gespräch besprechen wir deinen Case und deine Bewerbung einschließlich konkreter Vergütungsmodelle. Persönliches Treffen zur Zusammenarbeit – vor Ort, ca. ein halber Tag Wir sprechen über unsere Zusammenarbeit, Arbeitsweise und gegenseitigen Erwartungen. Deine Reisekosten übernehmen wir. Angebot und gemeinsame Startplanung Gleichbehandlung Wir begrüßen Bewerbungen unabhängig von Geschlecht, Alter, Behinderung, ethnischer Herkunft, Religion oder Weltanschauung und sexueller Identität. Datenschutz im Bewerbungsverfahren Informationen zur Verarbeitung deiner Bewerbungsdaten nach Art. 13 DSGVO findest du in unseren Datenschutzhinweisen für Bewerber:innen auf www.lexaru.de Find Jobs in Germany on Arbeitnow

Betriebliche Steuern sind kompliziert – Steuerberatung muss es nicht sein. Für die meisten Unternehmen bedeutet sie bis heute Papierstapel, lange E-Mail-Verläufe und Warten. Das wollen wir grundlegend ändern. Bei b'steuern verbinden wir Steuerberatung, Software und KI von Anfang an miteinander. Unser Ziel ist nicht, eine klassische Steuerkanzlei einfach digitaler zu machen. Wir definieren neu, was Steuerberatung bedeutet: mit KI-Agenten, die ganze Arbeitsabläufe eigenständig übernehmen, und Software, die Menschen genau dort einbindet, wo sie gebraucht werden. Dafür reicht es nicht, bestehende Prozesse einfach in Software zu übersetzen. Wir müssen verstehen, welche Arbeit überhaupt noch von Menschen erledigt werden muss, was KI-Agenten eigenständig übernehmen können und wie daraus zuverlässige, skalierbare Systeme entstehen. Als Product Engineer findest du die Probleme, die es wert sind, gelöst zu werden – und löst sie von Anfang bis Ende. Du arbeitest direkt mit unserem Steuerteam zusammen, verstehst die Herausforderungen im Arbeitsalltag und entwickelst eigenständig Lösungen: von der ersten Idee über Backend, Frontend und KI-Integration bis zum produktiven Einsatz. Dabei bist du Teil unseres Engineering-Teams und gestaltest mit, wie wir Software und autonome KI-Systeme entwickeln, die mit unserem Unternehmen wachsen. Deine Aufgaben Die Arbeit unseres Steuerteams neu denken. Du arbeitest direkt mit den Menschen zusammen, die unsere Software täglich nutzen. Du verstehst ihre Prozesse, identifizierst Engpässe und entwickelst Lösungen, die ihre Arbeit grundlegend einfacher, schneller und besser machen. Features end-to-end verantworten. Du wartest nicht auf fertige Anforderungen oder detaillierte Tickets. Du findest heraus, welches Problem gelöst werden sollte, entwickelst eine Lösung und setzt sie über den gesamten Stack hinweg um. Fertig bist du erst, wenn sie im Arbeitsalltag tatsächlich funktioniert und einen Unterschied macht. KI-Agenten in echte Arbeitsabläufe integrieren. Unsere Agenten übernehmen zunehmend ganze Prozesse – von der Verarbeitung von Dokumenten bis zur eigenständigen Bearbeitung komplexer Aufgaben. Du entwickelst die Systeme, Schnittstellen und Workflows, mit denen KI-Agenten zuverlässig zusammenarbeiten und Menschen dort einbinden, wo sie gebraucht werden. Unsere Softwareprodukte weiterentwickeln. Du baust Features für unser Kundenportal und unsere internen Werkzeuge – von intuitiven Oberflächen über Datenmodelle bis zur Businesslogik dahinter. Unser Engineering-Team verstärken. Du bringst deine technische Perspektive in Architekturentscheidungen ein, verbesserst bestehende Systeme und hilfst uns, auch bei schnellem Wachstum zuverlässige und wartbare Software zu entwickeln. Schnell lernen und iterieren. Du bringst Ideen früh in den Livebetrieb, holst dir direktes Feedback und verbesserst deine Lösungen kontinuierlich. Du weißt, wann ein pragmatischer Ansatz ausreicht und wann es sich lohnt, technisch tiefer zu gehen. Das bringst du mit Du bist ein starker Software Engineer. Du hast anspruchsvolle Software entwickelt, die tatsächlich im Produktivbetrieb eingesetzt wird. Du verstehst nicht nur, wie man Features implementiert, sondern auch, wie man zuverlässige Systeme entwirft, debuggt und weiterentwickelt. Du fühlst dich im gesamten Stack wohl. Du hast fundierte Erfahrung mit moderner Softwareentwicklung – von Backend-Logik, Datenbanken und APIs bis zu Frontend-Anwendungen. Du musst nicht jede Technologie kennen, kannst dich aber schnell in neue Systeme einarbeiten. Erfahrung mit TypeScript, React oder Python ist besonders hilfreich. Du denkst in Problemen, nicht in Tickets. Du willst verstehen, warum etwas gebaut werden sollte, bevor du über die technische Umsetzung nachdenkst. Du kannst unklare Anforderungen selbst strukturieren, pragmatische Entscheidungen treffen und Verantwortung für das Ergebnis übernehmen. Du denkst AI-native. Du hinterfragst ständig, wie du mit KI besser und schneller Software entwickeln kannst, experimentierst mit neuen Ansätzen und teilst erfolgreiche Workflows mit dem Team. Gleichzeitig hast du das technische Verständnis, um Qualität, Sicherheit und Wartbarkeit deiner Lösungen selbst zu beurteilen. Du baust schnell, aber nicht leichtfertig. Du kannst pragmatisch vorgehen und schnell funktionierende Lösungen ausliefern. Gleichzeitig erkennst du, wann Zuverlässigkeit, saubere Architektur und technische Qualität entscheidend sind. Du übernimmst Verantwortung. Du brauchst keine fertig priorisierte Aufgabenliste. Du findest selbst heraus, was wichtig ist, treibst Themen eigenständig voran und bleibst dran, bis das Problem wirklich gelöst ist. Du diskutierst offen und konstruktiv. Du vertrittst deine Meinung, gibst klares Feedback und lässt dich vom besseren Argument überzeugen. Du sprichst sehr gut Deutsch und fließend Englisch und lebst in Berlin oder bist bereit, hierherzuziehen. Erfahrung mit KI-Agenten, B2B-Software, komplexen Geschäftsprozessen oder in einem anspruchsvollen Start-up ist ein Plus. Ein bestimmter Abschluss, ein klassischer Werdegang oder eine bestimmte Anzahl an Berufsjahren sind dagegen keine Voraussetzung. Entscheidend ist, was du bereits gebaut hast, wie gut du technische Probleme lösen kannst und wie du an neue Herausforderungen herangehst. Passt die Rolle zu dir? Du fühlst dich bei uns wohl, wenn du … genauso gern Operations-Probleme löst, wie du anspruchsvolle Software entwickelst, Freude daran hast, Features von der ersten Idee bis zum produktiven Einsatz selbst zu verantworten, Lust hast, mit AI-Agents völlig neue Arbeitsabläufe und Produkte zu entwickeln, gern direkt mit Nutzern sprichst, statt ausschließlich technische Anforderungen entgegenzunehmen, selbst herausfindest, welches Problem gerade am wichtigsten ist, statt auf eine fertige Aufgabenliste zu warten, hohe technische Ansprüche hast, aber pragmatisch bleibst und lieber früh etwas Funktionierendes auslieferst, offen über deine Arbeit diskutierst und dich vom besseren Argument überzeugen lässt. Die Rolle passt eher nicht, wenn du … am liebsten klar definierte Tickets abarbeitest und Produktentscheidungen anderen überlässt, dich ausschließlich auf Backend, Frontend oder Infrastruktur spezialisieren möchtest und wenig Interesse am Rest des Produkts hast, lieber an technisch interessanten Problemen arbeitest, unabhängig davon, ob sie einen echten Mehrwert schaffen, feste Prozesse, enge Zuständigkeiten und vollständig ausgearbeitete Anforderungen erwartest, deine Arbeit als erledigt betrachtest, sobald der Code gemerged ist, statt zu prüfen, ob die Lösung im Alltag funktioniert. Warum b'steuern? Eine Branche neu gestalten: Wir bauen nicht einfach bessere Kanzleisoftware. Wir entwickeln eine neue Art der Steuerberatung, in der Software und autonome KI-Agenten einen großen Teil der Arbeit übernehmen. Software und Kanzlei unter einem Dach: Wir entwickeln unsere Produkte direkt im eigenen Kanzleibetrieb. Du kannst mit den Menschen sprechen, für die du baust, und neue Ideen unmittelbar im Arbeitsalltag testen. Wachstum: Jeden Monat kommen viele neue Mandant dazu. Was du entwickelst, erreicht schnell immer mehr Menschen. Tempo: Wir deployen mehrfach täglich. Manche Features sind zwei Stunden nach der ersten Idee schon im Einsatz. Technische Verantwortung: Du entwickelst nicht nur einzelne Features, sondern gestaltest unsere Systeme, Architektur und Engineering-Praktiken aktiv mit. Flache Strukturen: Wir arbeiten selbstorganisiert. Es zählt das beste Argument, nicht der Titel oder die lauteste Stimme. Kompetitives Gehalt: Wir bieten eine attraktive Vergütung abhängig von Erfahrung, Fähigkeiten und Impact. Arbeitsort: Unser Büro am Hackeschen Markt mit lebendiger Teamkultur. Wir arbeiten 3–5 Tage pro Woche gemeinsam vor Ort. Deine Bewerbung Ein Anschreiben brauchst du nicht. Zeig uns lieber etwas, das du selbst gebaut hast und auf das du stolz bist. Erzähl uns in ein paar Sätzen, welches Problem du gelöst hast, welche technischen Entscheidungen du dabei getroffen hast und welchen Unterschied deine Lösung gemacht hat. Besonders interessiert uns, wo du selbst Verantwortung übernommen hast – von der ersten Idee bis zum produktiven Einsatz. Wir freuen uns auf dich! Find Jobs in Germany on Arbeitnow