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# AI Engineer

- **Company:** Marktlink
- **Location:** Amsterdam, Netherlands
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Software Debugging, Python (Programming Language), OpenAI, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Vector Embeddings, AI Coding Agents, Git, Information Technology, Api Management
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4fa3b41db5dd5e93

## About the Role

* A completed Bachelor's or Master's in Computer Science, Artificial Intelligence, Econometrics or a comparable field. Preferably recently graduated or with your first work experience;
 * Fluency in Dutch is required;
 * Strong Python skills: you understand your code and debug it when things break;
 * Hands-on experience with LLMs, prompt engineering and connecting AI to internal data. Either via RAG, tool use or MCP;
 * Familiar with AI-coding agents and able to assess generated code critically;
 * Basic Git knowledge; experience with CI/CD, API integrations or Azure (Azure OpenAI, Microsoft Foundry) is a plus;
 * Analytically strong and able to explain technical choices clearly to both engineers and non-technical colleagues;
 * Curious, proactive and pragmatic, you feel at home in an environment where the landscape shifts fast.

## Description

* Build multi-agent systems that communicate with users and connect to internal systems;
 * Work on AI projects end to end, from brainstorming features and building the business case to developing, testing, deploying and continuously improving the solution.
 * Develop RAG pipelines with vector embeddings to make our knowledge and data safely accessible;
 * Translate business needs into concrete technical solutions and align on priorities with your team and stakeholders;
 * Choose the right technical approach per challenge;
 * Make AI output measurable: build test sets and evaluate for accuracy, hallucinations, cost and latency;
 * Bring solutions to production and keep them reliable, secure and maintainable;
 * Track adoption, gather feedback and iterate based on real results;
 * Stay sharp on new developments in AI and bring relevant ideas back to the team.