AI Engineer

About RevoData

RevoData is a boutique Data & AI consultancy and proud Databricks Gold partner. We focus exclusively on Databricks, allowing us to go deep and do things properly. We help companies across Europe unlock the value in their data, helping them design and build scalable platforms that support real business use cases.

We foster a no-ego, no nonsense culture where collaboration, proactivity and knowledge sharing are part of everyday work.

Sound like your kind of environment? Then keep scrolling!

Requirements

You are a builder who thrives as much in the first as in the last mile of AI - the space between a cool demo and a robust, production-ready system. You enjoy turning AI capabilities into real-world applications that people actually use, and you don't just ship a working prototype; you can prove it works, then make it measurably better.

As an AI Engineer at RevoData, you embed 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:

• You've built AI systems that run in the real world: You have experience across the full lifecycle - from early experimentation to deployment and monitoring - and understand what it takes to make AI systems reliable in production.
• You're experienced with LLMs & GenAI: You've moved beyond simple prompts and have built production-grade GenAI applications, including RAG architectures, agentic workflows, and fine-tuning, using platforms like OpenAI, Anthropic, Azure AI, or similar.
• You're comfortable with GenAI frameworks: You've used tools like LangChain, LangGraph, Pydantic AI, Hugging Face, or DSPy, and understand how to structure and orchestrate AI-driven applications beyond simple prototypes.
• You're evaluation-driven: You don't trust "it seems better." You establish a baseline, define metrics that actually capture the failure modes that matter, and iterate against them - so you can show with numbers that a change to a prompt, retrieval step, model, or parameter genuinely moved the needle.
• You understand LLMOps & MLOps: You understand that AI is only as good as its lifecycle management. You're comfortable with experiment tracking, model versioning, observability, and deployment (e.g. MLflow or comparable tooling), and you know how to build automated pipelines that handle monitoring, evaluation, and CI/CD for both traditional ML and LLMs.
• 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.
• You're a pragmatic Python Engineer: You have extensive experience with Python and its data/ML libraries, and you write clean, testable, well-structured code. You favour focused, self-contained solutions over sprawling ones, and you know what not to build under real-world time and budget constraints.
• 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.
• 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. You can explain the "why" behind an architecture to a CTO while pair-programming with an engineer to debug a pipeline.

Nice to haves:

• Experience with Databricks (or a Databricks certification - e.g. ML Engineer or GenAI Engineer)
• Experience with deep learning frameworks (PyTorch, TensorFlow)
• Experience with LLMOps tooling in production environments (evaluation, monitoring, drift detection)
• Dutch proficiency

No Databricks experience? No problem - we'll teach you.

We focus exclusively on Databricks, so you'll be working with your hands deep in the Databricks Data Intelligence Platform: PySpark, SQL, Delta Lake, Unity Catalog, MLflow, and the latest Mosaic AI features. But we don't expect you to walk in as a power user. If you've got strong AI engineering skills and extensive experience with comparable tooling - that's enough to get started.

For candidates without Databricks experience who want to ramp up quickly, we're willing to invest. We offer a 7 month crash course covering certifications, hands-on client project work, and an internal knowledge-sharing session to cement what you've learned. This track transitions to a permanent contract upon reaching the agreed milestones. It's designed to get you up to speed fast, with full support from the team along the way!

This role is open from Medior to Principal level candidates. Salary details are in the Additional Info section below.

Benefits

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!

Allowances: Every month work from home, travel & internet/phone allowance.

Additional Perks: Pension plan, lunch at the office, quarterly events, workations & a pet-friendly office in the heart of NDSM!

We'd love to meet you!

If you resonate with our technology, culture, and vision, we're excited to meet you! Apply directly through this vacancy, our website, or connect with me on LinkedIn. We appreciate a CV that goes beyond your experience – a picture of your pet, a podcast you’re currently enjoying or a fun fact are always welcome!

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. Candidates who already have the right to work in the Netherlands or elsewhere in the EU and are open to relocating are welcome to apply.

Additional info:

• RevoData has been growing quickly, and we’re ready for the next chapter - with multiple start dates available in 2026. Apply now and be part of our next chapter of growth.
• 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.