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# AI Engineer

- **Company:** Intelstack Bekijk Alle Vacatures
- **Location:** Amsterdam, Netherlands
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Open Source Technology, OpenAI, Search Technologies, Management of Software Versions, Enterprise Search, Data Logging, Pinecone, LangChain, Retrieval-Augmented Generation, Large Language Models, Model Validation, Generative AI, Build Management, Pgvector, Machine Learning Operations, Restful APIs, Semantic Kernel, Microservices
- **Published:** October 29, 2026
- **Apply:** https://www.careerjet.nl/job/register/nlb3830d4bac9840eaedb327f985c45d68

## About the Role

* 5+ years in software or ML engineering, including 1+ year shipping GenAI or LLM solutions to production.
 * Strong Python, plus REST APIs and microservices.
 * Hands-on RAG experience: embeddings, vector databases (Azure AI Search, pgvector, Pinecone or similar), chunking and re-ranking.
 * Cloud experience, ideally Azure (Azure OpenAI, AI Search, Functions, AKS).
 * MLOps or CI/CD for model and prompt versioning.

Nice to have

 * LangChain, LangGraph, Semantic Kernel or similar frameworks.
 * Experience in financial services, insurance or government.
 * Knowledge of responsible AI, model risk or AI governance.
 * Dutch language.

Engagement details

 * Working language English; Dutch is a plus.
 * You must already have the right to work in the Netherlands (EU citizen or valid Dutch permit); no visa sponsorship.
 * Freelance through your own company or employed through our payroll partner.

## Description

Reference: NL-TEST-AI-01 · Engagement: contract, 6 to 12 months, extendable · Start: within 4 weeks · On site: 2 to 3 days on site
IntelStack is hiring an AI Engineer for a global technology and consulting client delivering GenAI programmes for Dutch banks, insurers and public-sector organisations. You will take AI use cases from prototype to production, working in an English-speaking engineering team.
What you will do

 * Build and deploy LLM-based applications: retrieval-augmented generation (RAG), agents and document processing.
 * Design prompts, retrieval pipelines and evaluation sets, and measure accuracy, cost and latency.
 * Integrate models (Azure OpenAI, Mistral, open-source LLMs) with enterprise systems through APIs.
 * Put guardrails, monitoring and logging in place to meet EU AI Act and client risk requirements.
 * Work with data engineers, architects and business owners to agree scope and success criteria.