Senior Applied AI Engineer (AI)

Location: London, UK

Company

Develops reliable AI systems, high-quality data, and full-stack technologies for enterprises, governments, and leading AI model providers.

What you will do

• Own the AI layer of production systems for public-sector clients, including agents, model integration, and backend services.
• Build production agents with reliable tool calling, guardrails, and observability.
• Select and design evaluations tied to real-world outcomes and client-specific risks.
• Apply context engineering, retrieval-augmented generation, model adaptation, and inference optimization.
• Investigate production regressions, lead root-cause analysis, and implement preventative changes.
• Plan delivery for the workstream, manage client expectations, codify reusable tooling, and mentor engineers.

Requirements

• Backend engineering experience taking AI/ML systems into production and keeping them reliable.
• End-to-end ownership of production-system AI behavior rather than delivery of a narrowly scoped component.
• Hands-on evaluation design connecting model behavior to real-world outcomes and catching regressions.
• Ability to work directly with clients and explain model behavior and trade-offs to non-technical stakeholders.
• Practical experience handling regulated or sensitive data and designing for auditability.
• Experience leading root-cause analysis on production AI or ML systems.

Nice to have

• Sovereign or on-premise deployment experience.

Culture & Benefits

• Inclusive and equal-opportunity workplace committed to reasonable accommodations.
• Work supports public-sector applications and systems used for important decisions.
• Candidates may be reconsidered for the same role only after a 90-day waiting period.

Hiring process

• Applications are subject to a thorough evaluation process; candidates must wait 90 days before reconsideration for the same role.