Senior AI Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™

Greater London

Hybrid

GBP 102,000 - 138,000

Full time

14 days+
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Job summary

SR2 | Socially Responsible Recruitment in London is seeking a Senior AI Engineer to own and scale production-grade AI systems, collaborating with senior technical and research leaders to design, test, and improve LLM-based products used by real customers.

You will mentor junior engineers, ship production code, and take ownership of end-to-end systems in a hybrid London setting, with a competitive salary of £120,000 plus options and strong growth potential.

Qualifications

  • Proven ability to ship agentic/LLM-based systems to production.
  • Ability to operate in ambiguity and own architectural decisions.
  • Experience mentoring more junior engineers.

Responsibilities

  • Own end-to-end AI systems from design to deployment.
  • Mentor and guide junior engineers.
  • Build and maintain production code.

Skills

Agentic code
LLM-based systems
Production-grade software

Job description

Senior AI Engineer | £120,000 + Options | Hybrid (London x2 PW) | Agents

SR2 have been engaged with a Series B scale-up to support with their next phase of growth. This is a hands‑on engineering role for someone who enjoys building production‑grade AI systems, not just experimenting with models. You will work closely with senior technical and research leaders to design, build, test, and improve systems that use LLMs and related technologies in a product used by real customers.

What will you be doing?
  • This is a true ownership position. As one of the most senior members in the AI team, you will be owning systems end-to-end with autonomy to make architectural decisions.
  • Mentorship and guidance of more junior engineers in the team.
  • Building and maintaining production code
What skills do you need?
  • Fluent with agentic code (Claude code, Codex etc)
  • Thrive in an environment of ambiguity, where you are responsible for scoping out solutions to challenges.
  • Experience shipping Agentic/LLM-based systems end-to-end into production.
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