AI Engineer
Role details
Job location
Tech stack
Job description
We value getting to know you better, and our final interview takes place in person at our Amsterdam office. Please note, we do not cover interview travel costs or relocation expenses and cannot provide visa sponsorships as we are not registered as a referee employer.
Requirements
You enjoy turning AI capabilities into real-world applications that people actually use. Whether it's building LLM-powered tools, experimenting with new GenAI approaches, or scaling a proof-of-concept into something reliable and production-ready - you focus on making AI useful, usable, and impactful.
As an AI Engineer at RevoData, you work closely with clients to design and build AI solutions that solve real business problems. You combine strong technical skills with curiosity and pragmatism, and you enjoy bridging the gap between experimentation and production.
We'd love to talk if:
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You've built AI systems that run in the real world: You have experience working across the full lifecycle - from early experimentation to deployment and monitoring - and understand what it takes to make AI systems reliable in production environments.
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You're experienced with LLMs & GenAI: You've worked with LLMs, RAG, or agentic workflows and have seen firsthand what it takes to turn these into practical, working applications using platforms like OpenAI, Anthropic, Azure AI, or similar.
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You're comfortable with GenAI frameworks: You've used tools like LangChain, LangGraph, Pydantic AI or similar, and understand how to structure and orchestrate AI-driven applications beyond simple prototypes.
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You understand LLMOps & MLOps fundamentals: You're familiar with concepts like CI/CD, evaluation, observability, and maintaining AI systems after deployment - even if you're still deepening this in practice.
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You can work with data and build scalable pipelines: You've worked with data in real environments and understand how to design training and inference pipelines that scale with usage and complexity. And work reliably in production!
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You're comfortable working in the cloud: You've deployed or worked with AI solutions in environments such as AWS, Azure or GCP, and understand the basics of building and running systems there.
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You have a Consultant Mindset: You enjoy being client-facing. You don't just execute; you advise. You can translate a vague business challenge into a technical roadmap and lead a project from scoping to delivery.
Nice to have:
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Experience with Databricks
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Experience with deep learning frameworks (PyTorch, TensorFlow)
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Experience with LLMOps tooling in production environments (evaluation, monitoring, drift detection)
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Dutch proficiency
Benefits & conditions
Tech Playground: Love experimenting? So do we. Play around with Databricks, Terraform, Terragrunt, Asset Bundles, CI/CD, monitoring & alerting tools, Cursor and more.
Unlimited Learning: Take advantage of our partner academies, weekly workshops, and lunch & learns.
Fun Clubs: Join our climbing club, padel club, language club or start your own club!
Work-Life Balance: We trust you to get the job done - whether you're an early bird or a night owl. Our hybrid set up includes 2-3 days at the office. We all work together on Wednesdays at our HQ in NDSM, and the rest is up to you: work from home or join us at the office.
Wellbeing Budget: Monthly €75 net wellbeing budget to spend however you like - some recent spends have included gym memberships, bouldering shoes, a Calm-app subscription or a trip to the hairdresser!, * We are open to hiring at Medior level for this position. Our Medior salary range is €50,000-€65,000 per year, Senior is €65,000-€90,000 and Principal is €90,000-€110,000. As part of the hiring process, candidates are benchmarked during the technical assessment. If your skills and experience align more closely with a different level, we will discuss the corresponding salary band with you.
