Key Skills

Job Description

**We only consider candidates based out of the Netherlands for this role.** Title: Junior AI Engineer 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 Exposure to Azure: Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning 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

Core Responsibilities

Build, test, and improve fraud detection features using machine learning, large language models, and AI agents, while contributing clean Python code and evaluation datasets. Support deployment and monitoring of AI services on Azure, analyze data in accordance with privacy and security practices, and document and share findings with the team and stakeholders.

Requirements

Requires an MSc in Computer Science, Artificial Intelligence, Data Science, or a related field, with 0 to 2 years of relevant experience; internships, thesis work, and personal projects count. Candidates should know Python, Git, testing, REST APIs, machine learning fundamentals, and LLM concepts, and have hands-on experience with at least one listed AI or ML framework or platform; excellent English communication is also required.

Benefits

• Holiday Allowance
• Pension
• Training Budget
• Hybrid Working
• Mentoring From Senior Engineers