**We only consider candidates based out of the Netherlands for this role.**
Company:
FRISS
Location:
Utrecht, the Netherlands
Workplace type:
Hybrid (1 to 2 days per week at the Utrecht office)
Employment type:
Full-time
Seniority level:
Entry level
About FRISS FRISS builds fraud detection, claims automation, and underwriting risk software for P&C insurers. Our software helps carriers settle honest claims faster and send the suspicious ones to the investigators who need to see them.
About the role Fraud hides in the details: a claim description that doesn't add up, or a pattern no single file shows. Our ML team builds the AI that finds those signals and helps investigators act on them: models that detect fraud in claims and unstructured text, AI agents that support fraud investigators, and explanations that show why a claim was flagged.
As a Junior AI Engineer, you help build, test, and run these machine learning and generative AI features. Senior engineers in the team mentor you as you take AI features from prototype to production on Azure, and you grow into a fully independent engineer. The team builds with Claude Code as part of its daily engineering work.
What you will do
Build and improve fraud detection features using ML models, LLMs, and AI Agents (prompting, RAG, tool use) with senior engineers
Write clean, tested Python code and contribute to shared agent and LLM components
Build evaluation datasets and automated tests for the quality and groundedness of LLM outputs
Support the deployment of AI services in Azure (Azure AI Foundry, Azure OpenAI, containerized APIs) through CI/CD pipelines
Help monitor AI services in production (logs, traces, latency, cost) and fix issues
Prepare and analyze data, including unstructured text such as claim descriptions, in line with privacy (GDPR) and security practices
Document your work and share findings with the team and product stakeholders
What you bring
An MSc in Computer Science, Artificial Intelligence, Data Science, or a related field
0 to 2 years of experience with ML or LLM applications; internships, thesis, and personal projects count
Good knowledge of Python, Git, writing tests, and REST APIs (for example FastAPI); SQL is a plus
A solid understanding of ML fundamentals and of how LLMs work (prompting, embeddings, retrieval-augmented generation)
Hands-on experience with at least one of: OpenAI or Azure OpenAI APIs, LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, PyTorch, or scikit-learn
Curiosity, eagerness to learn, and openness to feedback; you take ownership and work well in a team
Excellent communication skills in English
Nice to have
Basic experience with Docker and CI/CD (for example Azure DevOps or GitHub Actions)
Experience evaluating LLM outputs or using observability tooling for AI applications
Experience with AI coding assistants such as Claude Code
Interest in insurance, fraud detection, or financial crime
What we offer
€3,000 to €4,000 gross per month
Holiday allowance, pension, training budget
Hybrid working: 1 to 2 days per week at the office in Utrecht
An international team and setting, with English as the working language
Mentoring from senior engineers, and AI work that runs in production for insurers
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Junior AI Engineer in Utrecht werkgever: FRISS
FRISS is een uitstekende werkgever die een stimulerende werkomgeving biedt in het hart van Utrecht. Met een sterke focus op innovatie en samenwerking, biedt het bedrijf volop mogelijkheden voor persoonlijke en professionele groei binnen de snel evoluerende wereld van AI en verzekeringen. Werknemers profiteren van een cultuur die creativiteit en teamwork waardeert, evenals flexibele werkuren en een competitief pakket aan voordelen.
