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,…
Skills: Python, AI Engineering, LLM, RAG, Prompt Engineering
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Mid levelVisa sponsorship$2.0B raised
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$49k–$82k/yr
Full-time
Posted 8d ago
~40 hrs/week
Responsibilities
You will build and improve AI-powered product features, including assistants, RAG capabilities, and workflow automations. You will also collaborate with domain experts to ensure AI outputs are accurate, explainable, and grounded in fiscal data.
Requirements
The role requires experience as a software or AI engineer with strong Python skills and familiarity with LLM application patterns. Candidates should have an interest in AI orchestration frameworks and the ability to work with structured or semi-structured data.
Full job description
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.
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 foranAISoftwareEngineerto helpexpand AI capabilities across our tax-focused product ecosystem.Therole supportsour AI-powered taxassistant, butis broader thanRAGalone: italsoincludesgenerative AI features,workflow automation,andAI-powered insightsfromfiscal data.Thisisamediorrole for someone who can contribute independently to well-definedengineering tasks, work closely withsenior engineers and domain experts, and grow their AIexpertisewhile delivering practical product value.
RoleScope
You willcontribute tobuilding,testing, andimprovingAI capabilitiesinourproducts and internal workflows.Workmay include RAG, LLM-powered assistants, structured outputs, workflow automation,AI-generated fiscal insights, data analysis workflows,evaluation,backend services, APIs,andlimitedfrontend integrationwhere needed.Themain focusis AI, Python/backend, APIs, data, and integration work; C#, .NET, Angular, and TypeScript 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.
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.
Requirements
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.
Familiarity with C#, .NET, Angular, or TypeScript is a plus, but deep expertise is not expected.
Alsvoorloperop hetgebiedvan AIbinnenfiscalesoftwareontwikkelenwijoplossingendiecomplexefiscalekennistoegankelijkerenpraktischermaken. Voor deverdereuitbreidingvanonzeAI-mogelijkhedenzoekenwijeenAI Software Engineer die meewilbouwenaanslimme,betrouwbareenschaalbareAI-functionaliteitenbinnenonsproductecosysteem.
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Renishaw is one of the world's leading engineering and scientific technology companies, with expertise in precision measurement and healthcare. The company supplies products and services used in applications as diverse as jet engine and wind turbine manufacture, through to dentistry and brain surgery. It is also a world leader in the field of additive manufacturing (also referred to as 3D printing), where it designs and makes industrial machines which ‘print' parts from metal powder.
It is a global business, with over 5,000 employees located in the 36 countries where it has wholly owned subsidiary operations. The majority of R&D work takes place in the UK, with the largest manufacturing sites located in the UK, Ireland and India.
For the year ended June 2024 Renishaw recorded sales of £691.3 million of which 95% was due to exports. The company's largest markets are China, USA, Japan and Germany.
Renishaw is guided by its purpose: Transforming Tomorrow Together. This means working with its customers to make the products, create the materials, and develop the therapies that are going to be needed for the future.
Offices: New Mills, Wotton-under-Edge, Gloucestershire GL12 8JR, GB