At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- London
About the role
- The Senior AI Engineer will join the AI Transformation team to rebuild internal company functions and develop market-facing AI products.
- This role involves designing and delivering end-to-end AI agent systems, evaluation frameworks, and tool integrations within a high-velocity, cross-functional environment.
Responsibilities
- Own and deliver end-to-end AI systems, including agents and their supporting platforms.
- Design context and retrieval strategies such as pipelines, memory, summarisation, chunking, and RBAC.
- Build automated evaluation pipelines and human-in-the-loop review processes.
- Design and build the tool layer for agents, including MCPs, APIs, data contracts, and error handling.
- Influence technical direction by contributing to architectural decisions and proposing improved approaches.
Requirements
- Experience shipping AI systems that serve real users at scale.
- Understanding of engineering challenges in agent systems, including context management, model selection, routing, cost engineering, and tool use.
- Product mindset with the ability to identify user pain points and build pragmatic, high-impact solutions.
- Full-stack delivery capability across LLM integration, backend services, data pipelines, and frontend.
- Ability to explain technical concepts clearly to engineers and business colleagues.
- Fluent in AI-assisted development and capable of mentoring others.
Benefits
- 27 days holiday plus 5 additional days (1 life event, 2 volunteer, 2 wellbeing).
- 8 bank holidays per year.
- Private medical insurance with Bupa.
- Medical cashback scheme.
- Life insurance.
- Gym membership and wellness resources through Wellhub.
- Access to Spill mental health support.
Workplace
- Hybrid work offering: collaboration in the office three days per week.
Skills
- LLM Integration
- Backend Services
- Data Pipelines
- Frontend
- APIs
