At a Glance
- Tasks: Own and optimise AI pipelines for impactful real-world applications.
- Company: Exciting AI start-up in London scaling towards Series B.
- Benefits: Competitive salary of £110k plus equity and growth opportunities.
- Other info: Join a high-calibre team tackling complex AI challenges.
- Why this job: Shape the future of AI with high ownership and real impact.
- Qualifications: Strong software engineering background and startup experience required.
The predicted salary is between 72000 - 88000 £ per year.
I’m partnered with one of the most exciting AI start-ups in London right now as they scale towards Series B. They’re building production AI systems that turn weeks of due diligence into minutes - already trusted by major enterprises, financial institutions, consultancies, universities, and global organisations.
This is not an AI research role. It’s about building real-world LLM systems that customers rely on for high-stakes decisions.
The role:
- You’ll own parts of the AI pipeline end-to-end across:
- Entity resolution
- Evals & system optimisation
- Accuracy, latency, and cost improvements
The environment is highly agentic - Claude Code, Codex, and AI-native workflows are embedded into how the engineering team operates day-to-day.
They’re looking for someone who:
- Comes from a strong software engineering background
- Has worked in fast-moving startups or high-performing tech teams
- Understands evals, reliability, and real-world AI trade-offs
- Wants high ownership and the chance to shape product direction
Strong product-market fit and global customer growth. Complex real-world AI problems with genuine impact. High-calibre engineering culture with lots of ownership.
Senior AI Engineer - Series A - £110k + Equity employer: Few&Far
Join a dynamic and innovative AI start-up in London that is at the forefront of transforming due diligence processes for major enterprises and institutions. With a strong emphasis on employee ownership and a high-calibre engineering culture, this company offers exceptional growth opportunities and the chance to work on impactful real-world AI systems. The collaborative and fast-paced environment fosters creativity and allows you to shape the product direction while being part of a team that values your contributions.
