About Ontwikkelaars
AI isn't our marketing pitch — it's a serious part of what we build for clients. We integrate LLMs, build retrieval systems, and create AI-powered features that users interact with daily. We're looking for someone who knows the difference between a demo and a production-ready system.
The role
As an AI Engineer, you translate the capabilities of modern AI models into reliable, performant features inside existing and new client products. You work with OpenAI, Anthropic, and open-source models, build RAG pipelines, implement vector search, and make sure everything is scalable and maintainable.
What you'll do
- Design and build RAG systems using vector databases (Pinecone, Weaviate, pgvector)
- Integrate LLMs via OpenAI, Anthropic, or open-source alternatives into production systems
- Tune prompts, evaluate model outputs, and build evaluation frameworks
- Collaborate with backend engineers to make AI features robust and scalable
- Stay on top of the fastest-moving space in tech and translate that into opportunities for clients
What you bring
- Demonstrable experience shipping AI features to production (not hobbyist projects)
- Strong Python skills and knowledge of relevant frameworks (LangChain, LlamaIndex, or similar)
- Hands-on experience with LLM APIs from OpenAI or Anthropic
- Understanding of embedding models, vector search, and retrieval strategies
- Bonus: experience with ML operationalization, model monitoring, or fine-tuning open-source models
What we offer
- Salary: €5,000–€7,500 per month, depending on experience
- Hardware budget: €2,000 at start — including GPU access where needed
- Learning budget: €1,500 per year for conferences (NeurIPS, AI Engineer Summit, etc.)
- API costs for experiments fully covered
- 25 vacation days, fully remote
How to apply
Send your CV and a description of an AI system you took from scratch to production to careers@ontwikkelaars.nl. We're specifically interested in the hard problems you ran into along the way.
Department
Engineering