Find Your Dream Career

About the Role Join us as a working student and help build an internal data platform for analyzing scientific publications in robotics and AI research. The platform brings together openly available information about publications and turns it into a clear, reliable picture of how the research field is developing. Your work will give our team a solid data foundation for understanding research trends, emerging topics, and where new momentum is building. You will design and develop software tools that collect, validate, store and visualize this information, and you will see your work used by colleagues in their daily work. What You Will Do Build and maintain an internal research data platform Design, implement and maintain an internal application for collecting, processing, validating, storing and visualizing publication data Develop components for automated data acquisition from open sources such as scholarly APIs, repositories and websites Implement backend services and data pipelines for reliable processing and integration Contribute to frontend components for accessing, managing and exploring the data Use AI-assisted development practices to build and extend the platform efficiently Ensure data quality and automation Implement automated and AI-supported validation, cleaning and quality assurance for the collected data Support the analysis of publication content, for example through text extraction or classification Keep the data consistent, traceable and usable across the whole system Visualize and report Develop dashboards and visualizations that make research trends and KPIs easy to explore Improve usability and functionality of the application together with its users Help to continuously enhance the platform What You Bring Currently enrolled in Computer Science, Data Science, Software Engineering, Statistics, Robotics or a related field Good knowledge of Python and web technologies (HTML, CSS, JavaScript) Knowledge of SQL and databases Experience with APIs, web scraping and workflow automation Experience with AI-based software development, such as working with AI coding assistants and integrating AI models into applications Experience with Git and Docker Strong analytical and problem-solving skills, with high attention to detail and data quality Structured, independent working style and good communication skills Interest in robotics and AI as a research field, and the ability to read and understand scientific publications Full professional proficiency in English Nice to Have Familiarity with the robotics and AI research ecosystem Familiarity with scholarly data sources or publication management tools such as JabRef Experience with text processing or LLM-based data extraction Experience building dashboards or data visualizations Fluent German What we offer A dynamic high-tech company, combined with financial soundness and world-class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Lots of development opportunities as we continue to grow. Challenging tasks and impactful projects alongside experts that enable professional and personal growth. Corporate Benefits Program covering health, mobility, and learning for 100€ net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 3500 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Find Jobs in Germany on Arbeitnow

Our Company "Buying Labs is the leading global partner for sourcing and distributing premium consumer goods!" We're looking for a Senior Full-Stack Engineer (m/f/d) to join our Tech team at our Hamburg headquarters. Our goal is to supercharge how our business works with AI and technology, wherever it makes a real difference. You'll build the systems our teams rely on every day, from internal applications to the data and AI capabilities behind them, and see the impact of your work directly in the business. This is a role for an experienced engineer who takes real ownership: someone who designs solid systems, builds AI into them where it adds value, and drives their work through to production and real users. Your Mission Own systems end to end: Design, build and run features across frontend and backend, from technical approach through deployment and support in production. Build AI into our products: Design and integrate AI-powered features such as structured extraction, classification, automation and agentic workflows. Make them reliable through validation, evaluation and human review where it matters. Data modelling and architecture: Build solid data models in PostgreSQL that serve as the foundation for our applications and AI features. Make architecture decisions that keep our systems maintainable as they grow. Modern and established codebases: Build new applications on our modern stack, and maintain and modernise our established JavaScript platform, which our teams rely on every day. Quality you can stand behind: Write tested, reviewed code and verify your own work before it reaches users. Monitor and troubleshoot production issues. Work closely with the business: Understand the processes behind what you build, work directly with our commercial and operational teams, and help shape what gets built and why. Raise the bar: Share knowledge, Your Profile 6+ years of professional software engineering experience, with a track record of building and running production applications end to end. Proven experience building AI into production systems or applications, for example LLM-based extraction or classification, RAG, or agentic and tool-use workflows. You know how to make AI output reliable through validation, evaluation and fallbacks. Using AI coding assistants alone does not meet this requirement. You use AI tools in your daily development work and have solid habits for checking and reviewing what they produce. Strong TypeScript and JavaScript, and modern React, including hooks and state management. Strong backend experience with Node.js and Express or a comparable framework, REST APIs, and integrating external systems. Deep PostgreSQL and SQL skills, with solid data modelling and experience with an ORM or query builder such as Knex, Sequelize or Prisma. Comfortable working across both modern TypeScript applications and an established JavaScript codebase. Strong quality mindset: automated testing, code reviews, and taking responsibility for what you ship. High ownership and drive: you push your work through to done, raise problems early, and don't wait to be told what to do next. Clear communication with both technical and non-technical colleagues. Bachelor's degree in Computer Science or a related field, or equivalent experience. Fluent English required; German is a plus. Based in Hamburg or willing to relocate. Nice to Have Depth in LLM tooling: provider APIs (Anthropic, OpenAI, Gemini), agent and tool-use patterns (MCP), and evaluating output quality. Vector search (pgvector or similar). Product or process awareness: experience understanding how a business works and turning messy processes into structured systems. Experience integrating ERPs or operational systems (orders, inventory, master data). Our wider stack: Bun, Vite, Redis, RabbitMQ, Docker, GitHub Actions, AWS. Observability and product analytics tools (e.g. Sentry, Datadog, PostHog). Python for data tooling. Background in eCommerce, wholesale or B2B environments. Why Us? An awesome team & great vibes: Work with motivated colleagues in an agile, ambitious, and friendly atmosphere where collaboration and fun go hand in hand with high speed. Flat hierarchies & real growth opportunities: Take ownership of your role and develop personally alongside the company. We promote from within and value every voice, regardless of seniority or title. Modern workplace & cutting-edge equipment: State-of-the-art office setup including adjustable desks, mobile treadmills, air conditioning, and everything you need to excel in your role. Company pension program (bAV): Smart pension plan with a 30% Buying Labs grant on your contribution, investing in your financial future together. Corporate Benefits membership: Access exclusive discounts from a wide range of partner brands and retailers. Full "Deutschlandticket" coverage: We cover the complete cost (ca. €60/month) so you can travel sustainably and conveniently throughout Germany. Free bike options: Choose between a complimentary "Swapfiets" bike (original or deluxe 7) or opt for JobRad bike-leasing with an additional €26/month grant from Buying Labs. Complimentary food & beverages: Free Friday lunch in the office, plus organic fruit & vegetables, drinks, snacks, coffee/tea, healthy shots and seasonal treats (e.g. ice cream, soups) throughout the week. Personalized workspace setup: €100 welcome voucher to customize and optimize your workspace from day one. Refer-A-Friend (employee referral program): You love being part of Buying Labs? Fantastic! Then recommend people from your personal network and receive attractive rewards. Sounds like a perfect fit? We can't wait to meet you. Apply now and be part of our journey! Find more English Speaking Jobs in Germany on Arbeitnow

Das erwartet Dich Caspar Health connects digital rehabilitation with personal therapeutic care. We help people receive care during and after their clinic stay, wherever they are. We are looking for a Senior Software Engineer to join our Integration Squad. You will develop, roll out, operate and maintain healthcare integrations across Health Level Seven version 2 (HL7 v2), REST application programming interfaces (APIs), Fast Healthcare Interoperability Resources (FHIR) and CSV imports. You will strengthen our backend engineering capacity and help clinic IT teams and software partners connect reliably to Caspar Health. The role covers both existing interfaces and new integrations, from implementation and partner onboarding through production support and ongoing improvement. Hands-on experience implementing and operating FHIR integrations in production is a required qualification. We would like to hear about the production FHIR integrations you have delivered, the systems you connected, the decisions you owned and how you kept the integrations reliable after launch. This role is located in Germany and requires full physical presence within the country . Due to our existing payroll and social security framework, permanent remote employment from abroad is not supported. Candidates must be eligible to work in Germany and resident from their first day. Please be advised that we cannot offer visa sponsorship or relocation assistance at this time. Deine Herausforderungen Develop, roll out, operate and maintain integrations across our interface landscape Take integrations through requirements clarification, data mapping, implementation, partner testing, go-live and ongoing support Maintain and improve existing interfaces, resolve production issues and support changes in clinic and partner systems Build reliable data flows for patient information and therapy schedules Design and maintain backend services and versioned APIs in our Ruby on Rails and TypeScript environment Handle duplicate messages, delayed or out-of-order updates, cancellations and partial failures with clear retry and reconciliation behaviour Extend our developer portal with runnable quickstarts, accurate API references, synthetic examples and troubleshooting guidance Work with clinic IT teams and software partners on tested interface contracts and repeatable onboarding Improve automated contract and end-to-end tests, monitoring and operational runbooks Share maintenance, support and knowledge through pairing, design discussions and code reviews Apply secure authentication, authorisation, tenant isolation and data-handling practices with our infrastructure and privacy specialists Dein Profil Substantial hands-on experience delivering FHIR integrations used in production, including personal responsibility for implementation and troubleshooting after launch Practical knowledge of FHIR resources, profiles, implementation guides, identifiers, terminology bindings, extensions and validation Hands-on production experience with Ruby on Rails, including maintaining and troubleshooting backend APIs and asynchronous integrations. You have practical experience working with AWS infrastructure, including the ability to integrate and manage cloud-based services Experience with healthcare data models, patient and encounter lifecycles, identity matching and appointment changes Strong SQL and PostgreSQL skills, including data modelling, migrations and performance-conscious queries Experience designing secure REST APIs and asynchronous or event-driven integrations Clear documentation and communication with engineers, product colleagues and integration partners A collaborative, pragmatic approach and strong written and spoken English Warum Caspar Health? Remote-first with flexible working hours – office optional in Berlin-Mitte or up to 90 days a year outside of Germany To match this, we support you with a monthly home office allowance and an additional meal subsidy Plenty of time to recharge – with 30 vacation days per year Budget for learning & development, conferences, and coaching – tailored to your potential and growth opportunities High level of ownership and decision-making freedom – no micromanagement. We hire experts who know what they're doing. #MakeAnImpact! Genuine collaboration – no silos, no egos. After all, we're all working toward the same vision. #ValueFocus! Access to all Caspar offerings for mental and physical well-being #HealthyTogether! And yes – all the snacks your heart desires, group sports sessions, a never-empty drinks fridge, and a healthy dose of humor are included too What defines us as a team We live diversity – it's not a marketing slogan, it's part of our everyday reality Feedback isn't a tool – it's part of our culture We believe that technology only makes sense when it truly helps people Our drive is purpose – but our standard is professionalism Find Jobs in Germany on Arbeitnow

tl;dr After 14 years in construction tech, Lea & Jonas are building the AI foundation for the construction industry 6 of Europe's 20 largest construction companies already rely on Kuro, with leading construction enterprises representing over €40bn in combined annual construction volume using the platform every day Construction has some of the most complex, unstructured data you can throw at an LLM. At Kuro, you can tackle some of the hardest problems in applied AI every day Curious about the bigger engineering challenge? Explore the vision and open problems at kuro.build . About us Lea and Jonas scaled two of Europe's leading construction tech companies - Capmo and alcemy - and saw firsthand the challenges holding the industry back. Now they're tackling the root cause: the 50% of construction work still lost to manual data handling. Kuro is building the AI foundation for construction. We're reimagining how construction professionals get work done and make decisions by leveraging AI to augment back-office workflows and make core data accessible. We are not pursuing marginal improvements, but a step change for construction. After one year on the market, leading construction enterprises with a combined annual construction volume of >€40 billion use Kuro every day to automate workflows and make faster, better decisions. Backed by an €10 million seed round, we already process more than 1 million pages every month and expect that volume to grow 10x over the next six months. We are 15 people based in Berlin. You will join a group of technical ex-founders and builders who are ambitious and kind. Learn more: Join Kuro - Berlin What You'll Do Set the technical direction Own the architecture decisions for the platform, from document ingestion to the chat UI Write and review RFCs. The technical roadmap for the next two to three quarters is yours. Make the build-or-buy decisions: which models we use, and which retrieval and orchestration stack we build on. Turn a vague customer request ("show me where the bid deviates from the BoQ") into a scoped plan with the risks named. Raise the bar for the team Mentor engineers: Review their designs and their code. Define the engineering standards. Find what slows the team down, in tooling or in the CI/CD pipeline, and fix it. Interview and hire engineers. You have no direct reports. You change decisions in product and in other teams with a written argument. Build and own end-to-end (AI) features Design and implement new features to solve a specific user problem, such as document versioning or our agentic Chat. From concept to DB schema, to optimizing LLMs, to UI. Own the full development lifecycle of customer-facing features. Manage evaluations and scoring, and perform error analysis on new and shipped AI features. Build the platform that abstracts workflow building Contribute to the workflow harness, decision-trace standard, and eval tooling so a new use case ships in ~1 month Build reusable human review & approval surfaces where trust in AI output is earned Work on the construction ontology & project graph Help model and evolve canonical entities of our customers Contribute to entity resolution across sources: recognizing the same requirement, position, or price across BoQs, contracts, drawings, and bids Build features so answers are evidence-linked and auditable, and decisions flow back into the graph Contribute to scalable data pipelines & integrations Extend our multi-modal ingestion of unstructured documents - PDFs, scans, drawings, and 3D models - orchestrated and cost-efficient at scale Build read/write integrations with customer systems (document management, ERP/AVA), so workflows complete work end-to-end Projects you would be involved in Current & Past projects Project & document versioning guaranteeing data lineage in construction projects German tokenizer for construction-specific search Document pipeline ingesting 10,000s of PDFs per day Native BIM/DWG file support: ingesting and processing 3D models Design the ontology v1 + graph schema: core construction entities, evidence links, and per-customer extension model Build out our workflow harness to run agentic workflows for customers Current Tech Stack It is still day 0 for Kuro. Therefore, we are highly pragmatic with our tool choices. We believe in keeping it simple and moving quickly. You significantly help shape our tech stack decisions. Web-App: Typescript Database / Vector DB and File Storage: AWS RDS / Trubopuffer / AWS S3 Backend: Fastify API + Prisma ORM Workflow Orchestrator: Prefect (Python) Hosting: AWS Elastic Beanstalk AI: Azure / OpenAI, Gemini, Cohere, AWS Obsv., Eval. & Tracking: Langfuse, Datadog Your profile This is the perfect role for an experienced engineer who wants to join an early stage company that builds a high impact applied AI product Bring 6+ years of experience as a Staff (full-stack) software engineer or Technical Lead, in a fast-paced environment Have proven experience delivering production-grade applied AI features to customers Take full ownership of solving customer problems by designing and implementing AI features Thrive in a small, accountable team with a high degree of ownership and a drive to make an impact Communicate fluently in both spoken and written English Enjoy working onsite with the team at our office in Factory Berlin Mitte every day Bonus Points You've started a company before or worked at a very early stage startup You built side projects in the past - we're excited to hear about these! German-speaking (definitely not a must, we're fully international) Why Kuro You'll join at a point when customer demand is proven, but our product and platform are still yours to shape. You'll own customer-facing features end to end while building the foundations beneath them, from ingestion pipelines and workflow infrastructure to our construction ontology and project graph. As Kuro grows, you can grow with it, whether as a leading individual contributor, technical leader or people manager. The Process Talent Acquisition Call – Intro, motivation, logistics & fit (30 min) Impact Interview – Deep dive into your experience, ownership & impact (60 min) On-site Day System Design – Designing under ambiguity & LLM craft (45 min) AI-Native Coding – Hands-on coding with AI (45 min) Final Culture Interview (approx. 60 min) Reference calls Decision Find Jobs in Germany on Arbeitnow

Wil jij bouwen aan betrouwbare dataproducten die door heel Univé worden gebruikt? Binnen het Data & AI Office werk je met Snowflake, dbt, Azure, Git en CI/CD. Je maakt van beschikbare brondata goed gemodelleerde, geteste en beheersbare dataproducten voor analyses, rapportages, self-service en AI-toepassingen. We zoeken een Data Engineer die data engineering combineert met software-engineering. Iemand die verantwoordelijkheid neemt voor wat hij of zij bouwt, nieuwe technologie praktisch inzet en samen met collega's het dataplatform en onze werkwijze verder ontwikkelt. Wie ben jij Jij bent een Data Engineer die technische kwaliteit belangrijk vindt en verantwoordelijkheid neemt voor wat je bouwt. Je zoekt actief naar manieren om ontwikkeling slimmer, beter en beter beheersbaar te maken en gebruikt nieuwe technologie wanneer die aantoonbaar waarde toevoegt. Je schrijft begrijpelijke en onderhoudbare code en automatiseert waar dat helpt. Voor jou is een dataproduct pas klaar wanneer het betrouwbaar, getest, gedocumenteerd en beheersbaar in productie staat. Je werkt graag samen en kunt technische keuzes helder uitleggen. Je deelt kennis, staat open voor feedback en begrijpt dat een goede technische oplossing ook bruikbaar en begrijpelijk moet zijn voor de organisatie. Wat neem je mee? hbo- of wo-werk- en denkniveau, bij voorkeur met een opleiding in Informatica, Data Engineering, Software Engineering of een vergelijkbare richting; meerdere jaren relevante ervaring als Data Engineer, Analytics Engineer, BI Developer of in een vergelijkbare technische datafunctie; sterke kennis van SQL en datamodellering; ervaring met Snowflake en dbt of vergelijkbare cloud- en transformatietechnologie; ervaring met Microsoft Azure of een vergelijkbare cloudomgeving is mooi meegenomen; ervaring met Git, geautomatiseerd testen en CI/CD; kennis van DevOps- en software-engineeringprincipes; ervaring met Python is een pré; ervaring met datakwaliteit, monitoring en documentatie; ervaring met AI-ondersteund ontwikkelen, of de motivatie om dit structureel en kritisch toe te passen; je kunt door AI gegenereerde code kritisch beoordelen op kwaliteit, veiligheid en onderhoudbaarheid; een nieuwsgierige, vernieuwende en resultaatgerichte instelling; sterke communicatieve en samenwerkingsvaardigheden; uitstekende beheersing van de Nederlandse taal, zowel mondeling als schriftelijk. Wat ga je doen Als Data Engineer binnen het Data & AI Office bouw je aan betrouwbare dataproducten op het dataplatform van Univé. De ontsluiting van data uit bronsystemen ligt elders in de dataketen. Jij werkt met de brondata die op het platform beschikbaar is en transformeert en modelleert deze tot dataproducten die klaar zijn voor gebruik. Met dbt, SQL en Snowflake bouw je heldere en herbruikbare datamodellen. Daarbij denk je vanaf het begin na over datakwaliteit, performance, beveiliging, testbaarheid, documentatie en beheer. Je begrijpt waarvoor de data wordt gebruikt en werkt samen met de business en andere dataspecialisten om informatiebehoeften te vertalen naar duurzame oplossingen. AI-ondersteund ontwikkelen is onderdeel van onze engineeringwerkwijze. Je gebruikt moderne AI-ontwikkeltools waar die helpen om bijvoorbeeld code, tests en documentatie sneller en beter te maken. Je beoordeelt de uitkomsten kritisch en blijft zelf verantwoordelijk voor ontwerp, kwaliteit, veiligheid en werking van wat je oplevert. Je werkt samen met data engineers, data scientists, data-analisten, Business Informatie Analisten, architecten en collega's uit de waardestromen. Je draagt bij aan gezamenlijke standaarden en deelt actief kennis over data engineering en nieuwe werkwijzen. Concreet houd je je bezig met: transformeren en modelleren van beschikbare brondata in Snowflake; bouwen en onderhouden van herbruikbare dataproducten met dbt en SQL; ontwerpen van datamodellen die begrijpelijk, performant en geschikt zijn voor hergebruik; automatiseren van datakwaliteitscontroles, tests en deployments; toepassen van software-engineeringprincipes op dataontwikkeling; werken met Git en CI/CD binnen een DevOps-werkwijze; AI-ontwikkeltools inzetten bij onder andere schrijven, testen, reviewen en documenteren van code; monitoren en verbeteren van performance, betrouwbaarheid en beheersbaarheid van dataproducten; vastleggen van definities, lineage en technische documentatie; samenwerken met data scientists en data-analisten aan betrouwbare data voor analyses, modellen en AI-toepassingen; samenwerken met de business om informatiebehoeften te vertalen naar bruikbare dataproducten; meedenken over architectuur, standaarden en de verdere ontwikkeling van het dataplatform; delen van kennis en collega's helpen bij nieuwe technologie en werkwijzen. Je standplaats is Zwolle, maar we werken ook een dag in Assen. We werken hybride, waarbij je gemiddeld de helft van de tijd op kantoor werkt. Wat bieden wij Binnen het Data & AI Office werk je aan een dataplatform dat organisatiebreed wordt gebruikt. Je krijgt ruimte om verantwoordelijkheid te nemen voor dataproducten, nieuwe technieken te onderzoeken en de engineeringwerkwijze verder te verbeteren. Salaris: deze functie is ingedeeld in schaal 9. Het jaarsalaris ligt tussen € 58.352 tot € 82.378 op basis van een 38-urige werkweek, inclusief vakantiegeld en dertiende maand en exclusief variabele beloning; Goede arbeidsvoorwaarden: je ontvangt onder andere vakantiegeld, een dertiende maand, een variabele Collectieve Prestatie Beloning, een goede pensioenvoorziening en een thuiswerk- en reiskostenvergoeding; Modern dataplatform: je werkt onder andere met Snowflake, dbt, Azure, Git en geautomatiseerde CI/CD-pipelines; AI-ondersteund ontwikkelen: je krijgt toegang tot moderne AI-ontwikkeltools en kunt deze structureel inzetten in je dagelijkse werk; Organisatiebrede impact: de dataproducten die jij bouwt, ondersteunen analyses, besluitvorming en AI-toepassingen binnen heel Univé; Ruimte voor innovatie: je krijgt vrijheid om nieuwe technieken, tools en werkwijzen te onderzoeken en te introduceren; Professioneel vakgebied: je werkt samen met data engineers, data scientists, data-analisten, architecten en andere specialisten; Eigenaarschap: je bent betrokken bij de volledige levenscyclus van een dataproduct, van ontwerp en ontwikkeling tot productie, monitoring en verbetering; Ontwikkeling: we investeren in jouw vakinhoudelijke en persoonlijke groei met opleidingen, kennisdeling en ruimte om te experimenteren; Hybride werken: je werkt gemiddeld 50% op kantoor en 50% vanuit huis, inclusief ondersteuning voor je thuiswerkplek; Extra voordelen: korting op je schade- en zorgverzekeringen bij Univé. Wie wij zijn Binnen het Data & AI Office werken we aan de data- en AI-ambitie van heel Univé. We ontwikkelen het centrale datafundament, bouwen betrouwbare dataproducten en zetten data en AI in om besluitvorming, processen en klantbediening te verbeteren. Je komt terecht in een omgeving met data scientists, data engineers, data-analisten, business informatie analisten en andere dataspecialisten. Samen met collega's uit de waardestromen en bedrijfsonderdelen brengen we kennis van data, technologie en de business bij elkaar. We geloven in eigenaarschap, vakmanschap en samenwerking. We experimenteren graag, maar zorgen er ook voor dat succesvolle oplossingen veilig, betrouwbaar en beheersbaar in productie worden genomen. Zo maken we data en AI praktisch toepasbaar voor onze medewerkers en betekenisvol voor onze leden. Overige informatie Enthousiast? Solliciteer dan via de sollicitatiebutton. Wil je eerst meer weten over de functie of de sollicitatieprocedure? Neem dan contact op met recruitment via Een screening maakt onderdeel uit van de sollicitatieprocedure. Een assessment kan onderdeel zijn van de procedure. Omdat we graag rechtstreeks in contact komen met onze toekomstige collega's, houden we de werving en selectie in eigen hand. Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld. Find more English Speaking Jobs in Netherlands on Arbeitnow

Who are we? Gain is the Private Markets Super App, a connected global platform transforming how leading investors, advisors, and corporates source, evaluate, and execute deals. By combining investment-grade intelligence, AI-powered workflows, and proprietary data in one unified platform, Gain enables top deal teams to move faster, reduce risk, and build conviction with confidence. Gain is trusted across more than $1 trillion of private capital, used by 100% of MBB and Big Four firms, and by 80% of the world's top 20 M&A advisory houses. Recognized for fast innovation and impact, Gain has been named both US and EU Data Provider of the Year by PE Wire, awarded Global Financial Market Review's Best Use of AI in Finance, and ranked in Sifted's Top 100 Fastest-Growing Companies, the Forbes 1000, and the Deloitte Technology Fast 50. Gain operates globally with offices in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore. How we work Predicting what isn't published. Many private companies publish little or no financial detail. Across a database of more than 5 million companies, we predict revenue and EBITDA from sparse labels, and we predict whether and when a company will be bought or sold, which is a time-to-event problem with censored data. Agents on a messy web. Our agents search, navigate and extract company data points from sources that contradict each other, then decide which source to trust before committing to an answer. Quality that holds while everything underneath moves. We're provider-agnostic. Model choices follow the evals, and we switch LLMs when the numbers say so. That only works if the evals are trusted. What will you do? The work is roughly half LLM agents and half custom ML, leaning slightly toward agents. The design of our agent pipelines: architecture, tools, and which model for which task. You'll shape the technical direction with our AI Lead. The evaluation behind agents and models: offline reference sets, live production evals, and the call on whether an improvement is real. Our prediction models for financials and deals: features, validation, retraining, and knowing when a simpler model wins. Getting work into production: trace where pipelines fail and fix the weakest links first, with compute, memory and model cost in view. Raising the bar in the team through design reviews, pairing, and an eval-first habit that sticks. In your first six months you'll own the evals for our agent pipelines, propose where we invest next, and ship measurable improvements to both the agents and the prediction models. Who are you? You've built and owned ML systems in production for years, typically 6+ in ML or software engineering. In the last 1–2 years you've shipped LLM agents or pipelines that real users depend on, not demos. You have modelling judgement. You've dealt with leakage, distribution shift and calibration on real data. You measure before you claim. You can build an evaluation set and tell an honest improvement from a lucky one. You care about the user outcome more than the technique. Ideas without a clear customer benefit don't get built here, however interesting. Nice to have: time-to-event modelling, noisy or conflicting data sources, financial or private-company data. No finance background needed. The team You'll join our Data & AI team of six and report to Renan, our AI Lead who's been building production models for >10 years. Our engineering team runs the infrastructure, and you shape what runs on it. The stack Core: Python (async, fully typed with Pydantic) and FastAPI LLMs: multiple providers behind our own provider-agnostic layer, with Pydantic AI for typed agents. Evals and observability: Pydantic Evals and Logfire Data: PostgreSQL with pgvector Cloud: GCP (Cloud Run, Cloud Tasks), Docker, GitHub Actions What do we offer? Competitive base salary and annual bonus linked to your performance / OKRs Attractive benefits including health & wellbeing allowance, work-from-home budget, learning & coaching benefits, etc. Flexible hybrid working model with 3 days per week in our Amsterdam office Healthy work-life balance allowing for planability and personal commitments Chance to grow with the company gaining increasing responsibilities, supported by lots of coaching and a feedback-driven approach Tremendous learning and career progression opportunities International environment with hubs in New York, London, Amsterdam, Frankfurt, Warsaw, and Bangalore Culture of trust, ownership and standard of excellence and a fun working atmosphere with regular outings and events Post product-market fit and aspiring unicorn status - this is an excellent time to join & grow with us! Does this sound like a perfect match? We are proud of our wonderful product and believe it has lots of potential. We are growing fast and having fun while building our platform and company. Does this sound like a team you would like to become a part of? Click 'Apply' and submit your CV, we are excited to get to know you and show you what we do! Gain.AI B.V., with its registered seat in Apollolaan 151, 1077 AR Amsterdam, The Netherlands, or another Gain.AI or Gain.pro entity which runs the recruitment process, further called "Gain", is the controller of personal data you submit as part of the job application. Your personal data will be processed for the purpose of conducting a recruitment process for the job position you apply for. If you provide Gain with explicit consent, your personal data will also be processed for the purpose of conducting future recruitment processes. Please read the Gain Privacy Policy to acquaint yourself with how Gain processes your personal data: https://www.gain.ai/privacy-and-cookie-statement. Gain is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected characteristics. Find more English Speaking Jobs in Netherlands on Arbeitnow

About the role Every customer's path through DataSnipper, from first sign-up to first agent run to renewal, runs on systems your team owns. We are hiring an Engineering Manager in our Amsterdam office to lead Billing & Monetization : how customers get in, what they are entitled to, and how AI usage turns into revenue. 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 empowers 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 must 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. The Scope Onboarding & offboarding : sign-up, trials, tenant and workspace provisioning, and the first-run experience. Getting a new firm from contract to value, fast. Licensing & entitlements : seats, plans, feature access and limits across the Excel add-in and Alwin, for self-serve users and global enterprise contracts alike. Metering & billing : real-time usage and credit consumption for our agentic products, through to invoicing, payments and revenue reporting. What You Will Do Lead through outcomes, not tasks. Set clear goals and trust the team to find the how. Make the team measurably better. Raise the bar, grow engineers into bigger problems, and address performance directly. Own the technical direction of the full customer lifecycle platform, and stay close enough to the code to make the hard calls credibly. Build systems where correctness is non-negotiable: accurate metering, enforced entitlements, reliable billing, all observable, secure and auditable. Treat onboarding as a product. Measure activation and time-to-value, and remove friction with Product and Design. Continuously improve on the admin experience to delight and empower our internal users. Turn commercial strategy into software. Partner with Product, Finance, Sales and Customer Success to shape pricing, packaging and licensing models. Set the bar for AI-assisted engineering. Not just shipping faster, but taking on harder problems, and shaping how DataSnipper engineering uses AI. Grow the scope. Expand ownership and stand up new teams as the area grows. What You Bring 3+ years leading engineering teams, on top of 5+ years as a software engineer An empowerment style of leadership and a track record of building high-performing teams Experience building billing, licensing, entitlement or onboarding systems at scale, ideally usage- or credit-based Strong fundamentals in software architecture, distributed systems, APIs and cloud-native development Experience running production systems where financial correctness matters Strong product aptitude: you challenge framing, make roadmap trade-offs, and care about activation and conversion as much as uptime Hands-on fluency with AI coding tools and agentic harnesses, and a team that is measurably better for using them A strategic, entrepreneurial mindset: you shape direction, not just execute it Nice to Have Usage-, metered- or credit-based billing in production, including AI token metering and cost attribution Billing and payment platforms (e.g. Stripe), CRM and ERP integrations Identity and provisioning: SSO, SCIM, multi-tenant account models Product-led growth: self-serve sign-up, trials, in-product upgrades Financial correctness: idempotency, reconciliation, auditability, revenue recognition Python, Azure and observability tooling Scale-up experience, ideally in 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 in 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 energised. NS business card for easy commuting to the office. A structured onboarding programme designed to set you up for success, including dedicated time to learn our product and customers before you hit the ground running. Access to continuous learning and development initiatives to grow your skills. Engage with a vibrant international team spread across seven global offices. Company-wide events like DataSnipper GO, where global teams come together. Access to OpenUp, a mental health and wellness platform supporting your wellbeing. Recruitment Process Recruiter Screen (30 minutes, online) Hiring Manager Interview (30 minutes, online) System Design Discussion (1 hour, on-site) Product Insight Conversation (45 min, online) 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

Are you comfortable navigating complex software systems, working with coding agents, and defining what makes developer tools actually useful? Do you want to shape how developers and AI work together inside IDEs? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you'll do Agentic development is changing how software gets built. Developers no longer just chat with AI – they delegate tasks, run parallel agent sessions, and steer autonomous changes. As agents take on more work, reviewing and owning the output is becoming the hardest part of the process. JetBrains Air is our open system for agentic development. It brings tools like Codex, GitHub Copilot, Claude Agent, Gemini, and Junie directly into JetBrains IDEs, providing an agentic-first user experience. We are looking for a Senior Product Manager to lead key areas of Air. You'll take ownership of high-impact workflows, work closely with cross-functional teams (including software engineers, designers, ML researchers, analysts, DevRel, and product marketing), and turn technical complexity into clear product direction. Day to day, you will: Take end-to-end ownership of key parts of Air in JetBrains IDEs, driving work from problem framing and discovery to delivery, adoption, and iteration. Define and refine core agentic workflows, including task delegation, session monitoring, steering, and code review. Model complex user flows, system states, permissions, and integration schemes to guide engineering and design decisions. Maintain a transparent roadmap that balances quick improvements with long-term strategic investments. Define telemetry, design experiments, analyze product data, and make evidence-based roadmap decisions. Study how developers interact with leading AI agents and tools to inform product priorities. Engage with the Agent Client Protocol (ACP) ecosystem and collaborate with partners building on it. Partner with enterprise sales and support teams to address governance, privacy, and control requirements. What you'll bring A systems-thinking mindset that easily breaks down complex architectures, workflows, and dependencies. A data-driven approach to product decisions, including hands-on experience querying and analyzing telemetry. Active personal experience using coding agents and clear perspectives on where current AI tools succeed and fail. Strong product intuition for complex technical user experiences and developer workflows. Clear, concise, and collaborative communication skills with the ability to explain complex technical concepts simply and build alignment across diverse groups of stakeholders. Comfort navigating fast-changing technical landscapes with high ambiguity. What you'll need Proven experience shipping end-user products as a product manager or in a similar role. Strong technical grounding in software development workflows, including IDEs, git, code review, CI/CD, and package management. A hands-on technical background sufficient to collaborate closely with software and ML engineers. An understanding of core AI and agent concepts, including tool use, protocols (MCP/ACP), context retrieval, evaluations, and latency/cost trade-offs. The ability to write SQL or Python to analyze product metrics and experiment results independently. Fluency in English, both written and spoken. What success looks like In your first 6 to 12 months, success in this role means: Driving measurable growth in active Air users and improving weekly/monthly retention (D7/D30). Increasing agent session completion rates and the proportion of agent-generated changes accepted by developers. Establishing clear, telemetry-backed decisions across your product roadmap areas. Delivering validated product hypotheses consistently each quarter. Contributing directly to JetBrains AI revenue growth and overall IDE value. Why join JetBrains? Strong base salary – We offer competitive pay that reflects your skills and experience. Flexible work schedule – Enjoy the freedom to work from home or from the office. Extra time off – More days to relax, recharge, and do the things you love. Learning and development opportunities – Access to conferences, courses, and language classes. Free meals and snacks – Lunch and refreshments provided to keep you fueled. Health and wellness – On-site gyms or sports club stipends. Internal events – Company-wide celebrations and team gatherings. We are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That's why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. If this sounds like a challenge you'd enjoy, send us your resume and a short note on why you're interested in Air. #LI-KL1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That's why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy. Find Jobs in Netherlands on Arbeitnow

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role We build our lab automation ourselves. Instead of buying turnkey systems and running them through a vendor's GUI, we reverse-engineer instruments, control them with open-source Python tooling like PyLabRobot and PyHamilton , and build the software and hardware to turn a pile of instruments into work cells that run biology around the clock. We're looking for a Lab Automation Engineer to help design, build, and run these systems. This is a broad role: on any given week you might be writing a driver for a new instrument, getting a liquid handler and a robot arm to hand off cleanly, or debugging why an overnight run stalled. We care far more about range, ability, and drive than years on any one platform. What You'll Do Control lab instruments — liquid handlers, robot arms, plate readers, incubators, analytical devices — programmatically in Python, ideally with PyLabRobot / PyHamilton, rather than locking workflows into proprietary software. Build and integrate work cells: get multiple instruments working together as one orchestrated unit that runs unattended. Bring new instruments online by reverse-engineering their control protocols and building drivers that expose them to the rest of the stack. Write the software glue — drivers, integrations, small services — that connects hardware to our platform (mostly Python, with some TypeScript). Partner with biologists to turn new assays into reliable automated workflows, then keep them running: diagnosing and fixing the mechanical, electrical, and software failures that come with 24/7 production. Push throughput and reliability up continuously — better error recovery, smarter scheduling, sturdier hardware. What We're Looking For Maker and hacker attitude. You like taking systems apart, figuring out how they work, and building the thing that makes them work better. You'd rather script an instrument than click through it. Strong software engineering skills. You write real Python and can structure code others can maintain — drivers, integrations, services — not just throwaway scripts. You'll pick up TypeScript where needed. Lab automation experience. Hands-on with PyHamilton, PyLabRobot, Opentrons, or similar tooling is a strong plus. Direct experience automating instruments and workflows matters more than the specific platform. Self-starter and independent. You see what needs building and build it. You don't wait for a spec, and you don't need a vendor training course to get going. AI-native builder. It's 2026 — you build with coding agents like Claude Code as a default, and you have sharp judgment about what they produce. Hardware comfort is a plus. Electronics, microcontrollers, 3D printing, CAD, or fabrication experience all help, but they're not required if your software and automation skills are strong. Debugging instinct. When something fails mid-run, you reason across software, firmware, electronics, and mechanics to find the cause and fix it. Biology background not required — but you should be excited that the robots run real experiments. Details Location: Lausanne, Switzerland (on-site — you're building physical systems) Type: Full time Start date: ASAP Application deadline We are reviewing applicants on a rolling basis. Find Jobs in Switzerland on Arbeitnow

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role You'll work in our biology & production team running protein expression, DNA assembly, and characterization workflows. We run thousands of constructs per week across cell-free and cell-based expression systems, high-throughput DNA synthesis and assembly, and binding/stability characterization (BLI, SPR, enzymatic assays). What You'll Do Run protein expression workflows: cell-free (PURE, lysate-based), E. coli, and potentially mammalian systems. Execute DNA synthesis and assembly protocols at high throughput: PCR, Golden Gate, Gibson. Run binding and characterization assays: BLI, SPR, thermostability, enzyme activity, developability assays. Troubleshoot when proteins don't express, misfold, or aggregate. Prepare reagents, manage samples, and track experiments in LabOS. Analyze experimental data: expression gels, chromatograms, binding curves. Work with the automation team to adapt bench protocols for robotic workflows. What We're Looking For BSc / MSc in molecular biology, biochemistry, or a relevant field. Hands-on bench time matters more than the degree. Practical molecular biology skills: PCR, cloning, gel electrophoresis, DNA purification. You've done these yourself, not just read about them. Protein expression experience. You've expressed recombinant proteins in at least one system and understand the basics. Experience with DNA assembly methods (Golden Gate, Gibson, restriction cloning). High-throughput experience is a plus. Familiarity with biophysical and analytical characterization techniques. We use BLI, SPR, plate reader assays, nanoDSF, HPLC-SEC, and CE-SDS. You don't need all of them, but you should have hands-on experience with at least a few. Comfortable scripting in Python or similar. You don't need to be a software engineer, but you should be able to write a script to parse data, generate plate maps, or automate a repetitive analysis. Organized and precise. Hundreds of constructs per week means you track everything and follow protocols exactly. Strong work ethic. Experiments don't always finish at 6pm. Comfortable in a fast-paced environment where priorities shift and you figure things out yourself. Details Location: Lausanne, Switzerland (on-site) Type: Full time Start date: ASAP Application deadline We are reviewing applicants on a rolling basis. Find Jobs in Switzerland on Arbeitnow

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the role You'll build backend systems that make our lab programmable. You'll architect data pipelines that process large-scale protein characterization data, build APIs that integrate laboratory instruments and robotics into our software stack, and work closely with scientists and automation engineers to translate complex molecular biology workflows into reliable, scalable software. This is not SaaS slop, you're making physical machines do precise biology with minimal human intervention. What we're looking for Strong experience designing and building production backend systems. We use Python and TypeScript on the backend with Postgres, but what matters is that you can architect systems that are reliable and maintainable. Experience building data pipelines and processing infrastructure. You'll be handling large volumes of heterogeneous data from physical instruments such as binding kinetics data, enzyme activity measurements, chromatography readings, and turning them into clean, structured datasets. Comfortable with API design and systems integration. A big part of this role is making hardware talk to software: connecting instruments, robotics, and scheduling systems into a coherent whole. A genuine interest in biology. No background required, but our product is running biology experiments in the physical world and that should excite you. High-autonomy, founder mindset. We share context and vision openly. You figure out what matters most and go work on it. Pragmatism. You care about solving the problem well, not about the stack or the tools. You write code primarily with AI, but you have enough experience writing software without it to know what good code and good architecture look like. Application deadline We are reviewing applicants on a rolling basis. Find more English Speaking Jobs in Switzerland on Arbeitnow

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role You'll build work-cell orchestration, instrument drivers, protocol scheduling, error-recovery logic, and monitoring. Physical systems fail in ways pure software doesn't — a plate gets stuck, a liquid handler skips a well, a temperature controller drifts. Your job is to make the system handle all of it gracefully. This is a broad, hands-on role for a strong engineer who wants their code to drive real machines and see it run the same day. What You'll Do Build orchestration software that coordinates liquid handlers, plate readers, incubators, and robot arms — handling timing dependencies, state, and error recovery. Reverse-engineer and develop instrument drivers and APIs. Each instrument speaks a different protocol (serial, USB, TCP/IP); you work out how it talks and build a clean abstraction over it. Model and execute complex multi-step protocols reliably — a single run can span dozens of steps across multiple instruments. Build error-recovery logic so that when something fails mid-run, the system retries, skips, alerts, or pauses depending on the failure mode. Create monitoring and observability for work-cell health: instrument status, run progress, error rates. Debug across the software–hardware boundary — figuring out whether bad data is a comms, firmware, calibration, or code problem. Work closely with lab automation engineers, the rest of the software team, and the scientists running production. Stack TypeScript and Python, Postgres (Supabase), Modal for compute. We control instruments with open-source Python tooling like PyLabRobot and PyHamilton wherever we can, rather than proprietary vendor GUIs. What We're Looking For Strong software engineering skills. You write production code in Python and/or TypeScript — well-structured and maintainable, not just prototypes. Comfortable at the hardware-software boundary. You've built software that drives physical devices, or you're excited to. You can read a protocol spec, debug a flaky connection, and reason about timing. Lab automation experience is a strong plus. Familiarity with PyHamilton, PyLabRobot, Opentrons, or similar tooling helps — as does a background in robotics, industrial automation, IoT, or embedded systems. Maker and hacker attitude. You like figuring out how closed systems work and building the thing that makes them work better. Bonus if you're comfortable with electronics, microcontrollers, or a 3D printer when an integration needs a physical fix. AI-native builder. It's 2026 — you build with coding agents like Claude Code as a default, and you have sharp judgment about what they produce. Self-starter and independent. You define what needs building from how the lab actually works, not just what's in the ticket. Reliability-minded. The lab runs 24/7; you design systems where one instrument failing doesn't cascade through the whole work cell. Biology background not required — but you should be excited that the code runs real experiments. Details Location: Lausanne, Switzerland (on-site — you need hands-on access to physical instruments). Type: Full time Start date: ASAP Application deadline We are reviewing applicants on a rolling basis. Find Jobs in Switzerland on Arbeitnow