AI Software Engineer

About the Business

Lexis Nexis Risk Solutions provides customers with solutions and decision‑making tools that combine public and industry‑specific information with advanced technology and analytics to help them evaluate and predict risks and improve operational efficiency. We use the power of data and advanced analytics to help our customers make better and faster decisions. By making information clearer and more actionable, we ultimately help make communities safer, insurance pricing more accurate, trade more transparent, business decisions simpler, and processes more efficient.

For more information about Lexis Nexis Risk Solutions, please visit:  Taxes are complex. We make them manageable. At Nextens, we build tax and compliance software that thousands of professionals rely on to stay compliant, work efficiently, and deliver accurate results. Our platform supports around 1 million filings every year, helping organizations navigate a constantly changing fiscal landscape with clarity and confidence.

We are looking for an AI Software Engineer to help expand AI capabilities across our tax-focused product ecosystem. The role supports our AI-powered tax assistant, but is broader than RAG alone: it also includes generative AI features, workflow automation, and AI-powered insights from fiscal data. This is a medior role for someone who can contribute independently to well-defined engineering tasks, work closely with senior engineers and domain experts, and grow their AI expertise while delivering practical product value.

You will contribute to building, testing, and improving AI capabilities in our products and internal workflows. Work may include RAG, LLM-powered assistants, structured outputs, workflow automation, AI-generated fiscal insights, data analysis workflows, evaluation, backend services, APIs, and limited frontend integration where needed. The main focus is AI, Python/backend, APIs, data, and integration work; C#, .NET, Angular, and Type Script are useful but not core expectations.

We expect a curious, pragmatic mindset: someone who asks good questions, learns quickly, collaborates well with engineers and domain experts, and focuses on delivering reliable value.

• 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.

• 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, Lang Chain, Lang Graph, 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.
• Familiarity with C#, .NET, Angular, or Type Script is a plus, but deep expertise is not expected.

Learn more about the Lexis Nexis Risk team and how we work:

Base Pay Range: NLD Amsterdam (Radarweg) €49,000 - €81,700.

We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. We are an equal opportunity employer: qualified applicants are considered for and treated during…