Senior Software Engineer AI Solutions

Design and deliver production‑grade AI systems that power data‑intensive financial products for global clients—turning cutting‑edge LLM capabilities into reliable, scalable services that make a real impact.

This role offers the opportunity to build AI solutions end‑to‑end, working with modern platforms like Databricks, Spark, and Delta Lake while shaping an internal AI platform used across the organisation. You’ll work at the intersection of software engineering, data engineering, and platform architecture, integrating LLMs into real products where data quality, traceability, and explainability are essential. You’ll collaborate with data, product, and platform teams, contribute to complex problem‑solving in a regulated environment, and grow your technical depth through meaningful ownership, continuous learning, and a supportive engineering culture.

Your key responsibilities as a Senior Software Engineer – AI Solutions will include:

• Developing AI agents and LLM‑backed data pipelines in Databricks, progressing solutions from experimentation through to production.
• Designing, building, and maintaining scalable data and ML pipelines using Spark, Delta Lake, and modern orchestration tools.
• Evolving the internal AI platform to expand capabilities, reliability, and developer usability.
• Integrating LLMs into existing products and workflows with a focus on data quality, traceability, and explainability.
• Translating business requirements into robust technical solutions in partnership with data, product, and platform teams.
• Ensuring solutions meet performance, security, and compliance requirements expected in regulated financial environments.

You will need the following experience and skills to join us as a Senior Software Engineer – AI Solutions:

• You have strong professional experience as a software engineer, with recent hands‑on work in AI/ML or data‑intensive systems.
• You are skilled in Python and TypeScript and have solid experience with distributed data processing (Spark preferred).
• You have proven experience building and operating data pipelines in Databricks or similar platforms.
• You have practical experience working with LLMs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and production integration.
• You demonstrate strong software engineering fundamentals—API design, testing, version control, CI/CD, and observability.

FE fundinfo is a leading financial data provider, connecting the investment industry across the UK, Europe, and Asia-Pacific through an integrated platform. Our skilled team empowers clients with data-driven insights, making the industry Navigate Complexity with Confidence!

We foster a collaborative and inclusive work environment where engineers contribute to meaningful outcomes and are encouraged to explore new tools and techniques. You can expect hybrid working options, flexible hours to support work–life balance, regular knowledge‑sharing sessions, and continuous learning opportunities. We value curiosity, pragmatic engineering, and teamwork—creating a space where you can grow your expertise while delivering secure, scalable solutions.