Senior AI Engineer

Our client is a Scandinavian supplier of software and services for purchasing and tendering processes in highly formalized conditions, such as orders in accordance with public procurement law at the level of the European Union or individual member states. The delivery center is located in Utrecht. Client’s platforms allow to announce tenders and conduct the entire procedure of collecting and evaluating offers at every stage of the purchasing process. They are used both by public administration bodies at various levels in European countries and by purchasing departments of large companies and corporations.

• Strong experience in software engineering (backend/platform) (Python/Java is a strong plus)
• Proven experience building AI/LLM-powered applications
• Solid understanding of LLM-based solutions, including real-world usage (prompting, retrieval, orchestration)
• Experience working with production systems – maintaining, debugging, and improving deployed solutions
• Hands-on experience with cloud platforms (AWS is preferred but not obligatory)
• Strong problem-solving skills, especially around troubleshooting and fixing production issues
• Ability to work in a collaborative team environment

Nice to have:

• Experience with agentic AI systems or multi-step LLM workflows
• Background in backend engineering at scale (APIs, distributed systems)
• Experience with data processing / data engineering concepts
• Familiarity with CI/CD, infrastructure as code, or platform engineering practices
• Experience with embeddings, RAG pipelines, or LLM evaluation

AI-powered document intelligence:

• Using web scraping and LLMs to extract insight from unstructured public data sources, surfacing signals that help customers stay ahead of the market

Enterprise data platform (EDP) integration:

• Ingesting, normalising, and joining data from multiple external sources into our EDP, making it accessible and useful for downstream services across the organisation

External API data ingestion:

• Building and maintaining integrations with third-party APIs to continuously gather relevant data at scale

CI/CD pipeline ownership:

• Setting up and maintaining robust CI/CD pipelines for the services the team develops and operates