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 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:

• Strong professional experience as a software engineer, with recent hands‑on work in AI/ML or data‑intensive systems.
• Skilled in Python and TypeScript with solid experience in distributed data processing (Spark preferred).
• Proven experience building and operating data pipelines in Databricks or similar platforms.
• Practical experience working with LLMs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and production integration.
• 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.

Benefits:

• 25 days of annual leave with the option to buy an extra 5 days each year.
• Enhanced paternity, maternity, and shared parental leave.
• Pension scheme.
• Sponsored learning and development, including formal qualifications.
• Private medical insurance.
• Discounted gym memberships.
• Bike to Work scheme for eco‑friendly commuting.
• Eye care and flu jab services.