AI Software Engineer
On-siteAmsterdam, North Holland, The Netherlands
Job Summary
Build and improve AI-powered product features, including assistants, RAG capabilities, workflow automations, and fiscal insight-generation tools. Develop application components for data ingestion, retrieval, prompt orchestration, structured outputs, and evaluation support. Collaborate with tax and domain experts to ensure AI outputs are accurate, explainable, and grounded in fiscal data. Support system evaluation by reviewing model behavior, feedback, and production signals while working with product and engineering teams to integrate these capabilities. This medior role focuses on AI, Python, backend, APIs, and data integration within LexisNexis Risk Solutions' tax-focused ecosystem.
Required Qualifications
- Experience as a software engineer, AI engineer, data engineer, machine learning engineer, or similar role
- Good Python skills and experience building backend, data-driven, automation, or AI/LLM-powered application components
- Familiarity with LLM application patterns such as RAG, embeddings, vector search, prompt engineering, structured outputs, and context management
- Experience or strong interest in AI orchestration frameworks such as Pydantic AI, LangChain, LangGraph, or similar tools
- Ability to work with structured or semi-structured data to generate insights, summaries, recommendations, or decision-support features
- Basic understanding of evaluation, monitoring, testing, secure development, data privacy, and responsible AI principles
- Experience as a software engineer, AI engineer, data engineer, machine learning engineer or in a comparable role
- Goede kennis van Python en ervaring met backend-, data-, automatiserings- of AI/LLM-gedreven applicatieontwikkeling
- Bekendheid met LLM-toepassingen zoals RAG, embeddings, vector search, prompt engineering, gestructureerde output en contextmanagement
- Ervaring met of interesse in AI-orkestratieframeworks zoals Pydantic AI, LangChain, LangGraph of vergelijkbare tools
- Het vermogen om te werken met gestructureerde of semigestructureerde data
- Basiskennis van evaluatie, monitoring, testen, secure development, dataprivacy en responsible AI
Desired Qualifications
- Familiarity with C#, .NET, Angular, or TypeScript
- Familiarity with C#, .NET, Angular, or TypeScript is a plus, but deep expertise is not expected
- Kennis van C#, .NET, Angular of TypeScript is een pré, maar geen harde eis
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