Senior AI Developer - 12 Months Contract

FE fundinfo is the leading provider of fund data in the UK and specializes in the collection, validation, dissemination and analysis of fund information within data feeds, documentation, web pages and Internet-based fund selection tools. As part of a multibillion-pound equity business owned by HG Capital, FE fundinfo is an aggressively growing company, through sales and acquisitions, with operations in the UK, Chennai, Hong Kong, Brno, Singapore, Zurich, Luxembourg and Australia. 

Technology is at the centre of FE fundinfo and how it delivers investment fund data and advice to global clients. Teams take a DevSecOps approach to delivery, owning services through the software lifecycle. Our cloud first, code first approach enables rapid response and adaptation of solutions. The AI Data Engineer - AI will be part of the AI team that builds and maintains the AI products and services that enable FE fundinfo to leverage the power of artificial intelligence and machine learning to transform the business and deliver value to the customers. 

Your key responsibilities as a Senior AI Developer will be to:

• Designing and implementing agent‑based AI systems, multi‑step reasoning workflows, and LLM‑orchestrated automation pipelines.
• Building scalable AI services using LLM orchestration frameworks, inference APIs, and modern RAG architectures.
• Developing retrieval systems, tool‑calling flows, memory management processes, and end‑to‑end RAG pipelines.
• Applying LLMOps/MLOps practices, including prompt versioning, evaluation processes, monitoring, telemetry, and cost optimization.
• Work with Databricks and MLflow for experimentation, telemetry, and AI observability. 
• Developing AI‑enabled applications using React, Next.js, Python (FastAPI), or .NET Core while integrating AI with enterprise systems.
• Ensuring reliable cloud deployments, CI/CD automation, and production‑level operational standards across all AI services.

To join us as a Senior AI Developer you will need the following experience and skills:

• You must have hands‑on experience building agentic AI systems or LLM‑powered workflows using modern frameworks and tools.
• You will have a strong understanding of RAG architectures, embeddings, vector search, memory patterns, and tool‑calling interfaces.
• You should bring practical knowledge of Databricks, MLflow, or similar LLMOps/MLOps toolchains for experimentation and observability.
• You must be proficient in React, Next.js, TypeScript, and backend development using Python (FastAPI) or .NET Core.
• You will have experience working with Azure cloud services, CI/CD pipelines, Docker, and relational database technologies such as PostgreSQL or SQL Server.

Apply today for immediate consideration and we will endeavour to get back to you within 5 working days. Visit our Glassdoor profile or fefundinfo.com to find out more about life @ FE fundinfo!