AI Engineer - Investment Management - Up to £100k base

Saragossa; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Saragossa is hiring to build AI that matters, inside a charity-driven asset manager. You’ll work embedded with business teams, not just automate routine tasks, and ship end-to-end solutions across the stack. You’ll craft agentic workflows, MCP, and AI-assisted coding while communicating clearly with non-technical stakeholders.

You’ll join a thin but capable tech team of around 100 within a 400-strong firm, with genuine autonomy and diverse project variety that advances good in the world.

Qualifications

• Solid grounding in software, data and systems.

Responsibilities

• Build end-to-end AI solutions that transform how teams work.

Skills

Python

AI

Prompt engineering

Automation

Data systems

Tools

Git

Docker

ML libraries

AI tools

Job description

You get to build AI that actually matters, inside a firm whose profits go to charity.

This asset manager manages $60 billion in assets and is owned in perpetuity by a philanthropic foundation. There are no outside shareholders, no parent bank, and no pressure to chase short-term targets. The firm has been quietly excellent for decades, and the work you do here ultimately funds good in the world.

The tech team is around 100 people inside a firm of 400. You sit within that team but spend your time embedded with the business, working directly alongside the people who run client and operational functions day to day.

This is not about automating small tasks or tidying up workflows at the edges. You are expected to look at things end to end, think with imagination, and identify where AI can genuinely transform how people work.

You will build lightweight tools and automations, work hands-on with agentic workflows, MCP, prompt engineering and AI-assisted coding, and know when something needs handing off to the wider engineering team rather than solved quickly in isolation.

The conversations you have matter as much as the code you write. You will be working with non-technical people constantly, so the ability to listen, translate and communicate clearly is just as important as your technical ability.

This would be a great step up from a first serious engineering role into somewhere that gives you real autonomy, genuine variety and the space to keep developing.

You will have a solid grounding in software, data and systems, and real fluency with modern AI tools across the stack.

Ready to build something that means more than the bottom line?