AI Software Engineer

AI Software Engineer

What if your next role allowed you to shape AI-powered experiences that help professionals make better, faster decisions using trusted fiscal data?

Are you excited by building practical AI solutions, collaborating across disciplines, and turning emerging technology into valuable customer outcomes?

About The Business:

LexisNexis 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.

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.

About Role:

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 mediorrole 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.

Role Scope

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 focusis AI, Python/backend, APIs, data, and integration work; C#, .NET, Angular, and TypeScript are useful but not core expectations. We will work with AWS AI-Driven Development Life Cycle (AI-DLC), an emerging AI-native approach that integrates AI collaboration across planning, design, implementation, testing, deployment, and operations, with people retaining oversight of critical decisions. We expect a curious, pragmatic mindset: someone who asks good questions, learns quickly, collaborates well with engineers and domain experts, and is open to both cutting-edge technology and new ways of delivering software.

Key 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.

Experience and Skills

• 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.

• Openness to an evolving, AI-native software delivery lifecycle, including rapid collaborative working sessions, experimentation, AI-assisted execution, structured human review, and changing responsibilities as routine engineering tasks become increasingly automated.

• Familiarity with C#, .NET, Angular, or TypeScript is a plus, but deep expertise is not expected.

For more information about LexisNexis Risk Solutions, please visit:https://risk.lexisnexis.com.

Dutch Version

AI Software Engineer

Introductie

Als voorloper op het gebied van AI binnen fiscale software ontwikkelen wij oplossingen die complexe fiscale kennis toegankelijker en praktischer maken. Voor de verdere uitbreiding van onze AI-mogelijkheden zoeken wij een AI Software Engineer die mee wil bouwen aan slimme, betrouwbare en schaalbare AI-functionaliteiten binnen ons productecosysteem.

In deze medior rol werk je aan meer dan alleen RAG of chatfunctionaliteit. Je draagt ook bij aan generatieve AI-toepassingen, workflowautomatisering, data-analyse, AI-gedreven inzichten en integraties met bestaande producten. Je werkt nauw samen met senior engineers, productcollega’s en fiscale domeinexperts om AI-oplossingen te ontwikkelen die direct waarde leveren voor onze gebruikers.

voor de fiscale praktijk

Je hebt ervaring met softwareontwikkeling en wilt die inzetten voor AI-toepassingen die gebruikers écht verder helpen. Als AI Software Engineer bouw je mee aan ons fiscale productecosysteem: van een AI-gedreven belastingassistent tot generatieve AI-functionaliteiten, workflowautomatisering en AI-functionaliteiten die fiscale inzichten genereren. Je kijkt verder dan RAG alleen en vertaalt AI-mogelijkheden naar bruikbare productfunctionaliteit. Dit is een mediorrol waarin je afgebakende engineeringtaken zelfstandig oppakt, samenwerkt met senior engineers en domeinexperts en je AI-expertise verder verdiept.

Jouw rol

Je bouwt, test en verbetert AI-functionaliteiten voor onze producten en interne werkprocessen. Denk aan RAG, LLM-assistenten, gestructureerde modeloutputs, workflowautomatisering, AI-functionaliteiten die fiscale inzichten genereren en data-analyse. Ook evaluatie, backendservices, API’s en waar nodig beperkte frontendintegratie horen erbij. Je zwaartepunt ligt bij AI, Python, backend, API’s, data en integratie. Kennis van C#, .NET, Angular en TypeScript is welkom, maar vormt niet de kern van deze rol. We gaan werken met de AWS AI-Driven Development Life Cycle (AI-DLC): een opkomende AI-native werkwijze waarin AI meewerkt aan planning, ontwerp, implementatie, testen, deployment en beheer. Mensen houden de regie over cruciale beslissingen. Je krijgt daarmee niet alleen te maken met nieuwe technologie, maar ook met een andere manier van software ontwikkelen. We zoeken iemand die nieuwsgierig en praktisch is, goede vragen stelt en graag samen met engineers en fiscale experts oplossingen uitwerkt.

Wat je gaat doen

• Bouw en verbeter AI-functionaliteiten die gebruikers verder helpen: van assistenten en RAG-oplossingen tot geautomatiseerde workflows en AI-functionaliteiten die fiscale inzichten genereren.

• Ontwikkel de bouwstenen achter onze AI-toepassingen, zoals data-ingestie, retrieval, promptorkestratie, gestructureerde outputs, evaluatieondersteuning en aansluitpunten voor monitoring.

• Werk samen met fiscale experts om AI-output nauwkeurig, uitlegbaar, onderbouwd met fiscale data en bruikbaar voor gebruikers te maken.

• Help AI-systemen gericht te verbeteren door modelgedrag, gebruikersfeedback, testcases en signalen uit productie te analyseren.

• Werk met productcollega’s, frontendontwikkelaars en andere engineers om AI-mogelijkheden te vertalen naar bruikbare productervaringen.

• Werk binnen AWS AI-DLC met AI als engineeringpartner. Combineer AI-ondersteund werken met kritisch oordeel, gestructureerde reviews, navolgbare beslissingen en menselijke goedkeuring op cruciale momenten.

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