AI-engineer / Product Owner

The Role

We're looking for an AI Automation Engineer who can design, build, and optimize intelligent agents and automation systems for real business problems.

You start hands-on. You build multi-model AI agents, advanced RAG systems, and automation workflows that actually perform. You're not just implementing off-the-shelf solutions: you tune, evaluate, and push systems until they deliver measurable impact for clients.

As we grow, your scope expands. You become the go-to on agent architecture and automation standards across projects.

Phase 1 (start): 80% building yourself, 20% client and team involvement. 2-3 projects in parallel. Phase 2 (growth): More architecture, more oversight. You set the standard for how we build and evaluate AI systems across the board.

What you'll do

• Design and implement multi-step, multi-model AI agents with complex task flows

• Build and optimize RAG systems tailored for agentic use cases: chunking strategies, retrieval methods, accuracy tuning

• Create automation workflows in n8n integrating AI models, APIs, and business processes

• Use LangSmith for observability, debugging, and performance optimization

• Apply fine-tuning methods including PEFT and LoRA for targeted performance improvements

• Manage training dataset collection, curation, and optimization

• Develop EVAL frameworks to measure model accuracy, reliability, and user satisfaction

• Continuously improve prompt design, retrieval strategies, and fine-tuning for maximum client impact

Who you are

You thrive on pushing AI systems to their limits. You don't stop at "it works" - you ask why it works, where it breaks, and how to make it better. You're equally comfortable in the weeds of a RAG pipeline and in a client conversation about what the system actually needs to do. In a small team, you don't wait for instructions. You see what needs to happen and you get it done.

What we're specifically looking for:

• Proven experience with LangSmith and n8n

• Strong Python skills with a solid track record in production AI systems

• Hands-on experience with RAG architectures and chunking optimization

• Strong background in prompt engineering across multiple AI models

• Solid understanding of agentic RAG and multi-step reasoning approaches

• Expertise in model fine-tuning: PEFT, LoRA, and related strategies

• Experience building EVAL and performance measurement systems for AI agents

• Familiarity with multi-model orchestration and AI system design best practices

• Excellent Dutch and strong English

Nice to have:

• Experience with autonomous agents in enterprise environments

• Knowledge of cutting-edge agent frameworks and orchestration tools

• Understanding of reinforcement learning for model improvement

What we offer

• €4,200 - €6,500 gross per month, plus 8% holiday allowance

• 32-40 hour work week, your choice

• Hybrid working from Rotterdam, minimum 2 days in the office

• A team that doesn't just sell AI but builds and uses it daily

• A clear growth path: from engineer to lead architect across a growing project portfolio