AI Harness Engineers at Capgemini | GB | Rezi

AI Harness Engineers at Capgemini

AI Harness Engineers

Capgemini · GB

1 weeks ago

AI Harness Engineers

Capgemini · GB

9 days ago
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About the Role

This role focuses on owning the end-to-end development loop, including environments, builds, and CI, which are critical for the velocity of an organization that uses AI agents for code implementation. The harness, a self-improving system, is central to this role, with every failure and evaluation feeding into its next iteration and model improvements.

Responsibilities

  • Own development environments end to end, ensuring they are fast, isolated, and reproducible for both human engineers and agent fleets.
  • Manage deterministic CI and pre-push validation to catch failures early.
  • Oversee the agent harness, including tooling, permissions, retry limits, and orchestration blueprints.
  • Drive the recursive improvement loop, ensuring agent transcripts, failure modes, and evaluation verdicts automatically feed back into harness changes and model adaptation datasets.
  • Implement evaluation-gated merges, making evaluation suites a first-class merge gate within CI.
  • Measure and improve key metrics such as cold-start times, agent PR merge rates, and review-time economics.

Requirements

  • Prior ownership of a development environment, build system, or paved-path workflow used by a multi-team engineering organization.
  • Strong Python skills with fluency in containerization and Kubernetes.
  • Comfort operating CI/CD systems at scale.
  • Direct experience deploying or operating AI coding agents (e.g., Claude Code, Cursor, Copilot, or in-house) beyond personal use.
  • Keen interest in frontier agentic-systems research, with the ability to implement findings into production within a quarter.
  • A measurement habit, with the ability to demonstrate developer-experience improvements with data.
  • Daily, hands-on use of AI coding assistants as part of your own development workflow.

Skills

  • Python
  • Containerization
  • Kubernetes
  • CI/CD
  • AI coding agents
  • Agentic systems research
  • Hermetic build systems
  • Go
  • Rust
  • Git at scale
  • Agent pipelines
  • Reinforcement learning
  • Developer experience
  • Agent harnesses
  • Financial services engineering

Location

  • Hybrid

Work Type

  • Hybrid working
  • Full-time

Experience Level

  • Senior

Benefits

  • Total Reward package
  • Core and flexible benefits
  • Peer Recognition Portal (Applaud)
  • Accredited Great Place to Work for Wellbeing in 2024
  • Mental Health Champions
  • Wellbeing apps (Thrive and Peppy)
  • Training and development opportunities (thinktanks, hackathons)
  • Access to 250,000 courses
  • External certifications (AWS, Microsoft, Harvard ManageMentor, Cybersecurity)

About the Company

  • Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value.
  • We imagine the future of organizations and make it real with AI, technology, and people.
  • We have a strong heritage of nearly 60 years and are a responsible and diverse group of 420,000 team members in more than 50 countries.
  • We deliver end-to-end services and solutions with deep industry expertise and a strong partner ecosystem, leveraging capabilities across strategy, technology, design, engineering, and business operations.
  • The Group reported 2024 global revenues of €22.1 billion.

Equal Opportunity

  • Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme.
  • As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role.
  • Please opt in during the application process.