AI Software Engineer - Tax Insights & Automation

LexisNexis Risk Solutions; Amsterdam; Hybrid; EUR 49,000 - 82,000; Full time

Job summary

LexisNexis Risk Solutions in Amsterdam is seeking an AI Software Engineer to expand AI capabilities across our tax-focused product ecosystem. You will contribute to AI-powered assistants, RAG, and structured outputs while collaborating with domain experts and engineers to deliver practical product value.

The role emphasizes backend, Python, APIs, and data integration with an AI-native development lifecycle, offering exposure to modern AI techniques in a real-world regulatory context.

Qualifications

• Experience as software/AI engineer or similar role.
• Good Python skills and experience building backend, data-driven, automation, or AI/LLM-powered 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.
• Openness to evolving AI-native software delivery lifecycle and rapid collaborative sessions, AI-assisted execution, structured human review.
• Familiarity with C#, .NET, Angular, or TypeScript is a plus.

Responsibilities

• Build and improve AI-powered product features, including assistants, RAG capabilities, workflow automations, and fiscal insight-generation features.
• Develop AI application components such as data ingestion, retrieval, prompt orchestration, structured outputs, evaluation support, and monitoring hooks.
• Work with tax/domain experts to ensure AI outputs are accurate, explainable, grounded in fiscal data, and useful to users.
• Support evaluation and improvement of AI systems by reviewing model behavior, feedback, test cases, and production signals.
• Collaborate with product, frontend, and engineering colleagues to turn AI capabilities into usable product experiences.
• Work effectively in AWS AI-DLC workflows, using AI as an engineering collaborator while applying sound judgment, structured review, traceable decision-making, and human approval at critical points.

Skills

Python

Backend development

AI/LLM

Tools

LangChain

Pydantic AI

LangGraph

Job description

LexisNexis Risk Solutions in Amsterdam is seeking an AI Software Engineer to expand AI capabilities across our tax-focused product ecosystem. You will contribute to AI-powered assistants, RAG, and structured outputs while collaborating with domain experts and engineers to deliver practical product value.

The role emphasizes backend, Python, APIs, and data integration with an AI-native development lifecycle, offering exposure to modern AI techniques in a real-world regulatory context.