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# AI Platform Engineer

- **Company:** Haystack People
- **Location:** Utrecht, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Recommender Systems, OpenAI, Microsoft Copilot, Salesforce.Com, Software Engineering, Cloud Platform System, Large Language Models, Generative AI, Agentic-AI, Containerization, AI Platforms, Kubernetes, Api Design
- **Published:** November 10, 2026
- **Apply:** https://www.werk.nl/nl/vacatures/72235237

## About the Role

Must haves - 4 to 7 years of experience in AI engineering, ML engineering or a similar platform role. - Strong Python skills. - Experience with LLMs, generative AI and AI APIs. - Experience taking AI or ML solutions into production, with a cloud platform and CI/CD. - Understanding of data engineering and API architecture.
You don't need to tick every box.
Nice to have - Experience with Vertex AI, LangChain, LangGraph or the OpenAI ecosystem. - Experience with BigQuery. - Experience with Kubernetes or containerization. - Experience with AI agents or real-time AI workflows. - Knowledge of the Salesforce ecosystem. - Experience with recommendation engines or AI in a sales con...

## Description

You build AI and ML models, and you also make sure they keep running once they are live: monitored, retrained, improved. This role sits at an established company in vehicle finance, backed by an experienced investor, where AI already touches sales automation, internal copilots and the dealer process., This is an established company in vehicle finance, backed by an experienced investor. It is investing in AI across sales automation, copilots and recommendation engines, and is building the platform to run that reliably. IT is a small team of around six people, so your work is visible and your decisions shape how things get built. What you do - Build AI and ML models for recommendations, predictions and automation within the commercial process. - Integrate LLMs and AI APIs, including for internal copilots and AI agents. - Take models into production and keep them there: pipelines, monitoring, retraining. - Help shape the wider AI platform and architecture choices as the team grows. - Keep the basics around AI use in check: security, privacy and explainability. - Work closely with data engineering, product and software engineering to turn business problems into AI solutions. What you bring