AI Harness Engineers

Capgemini • Atlanta, GA

4d • $150,000 - $170,000 • Remote

About The Position

NewCo is a new AI-native product organization within Capgemini Financial Services. We build products, not projects: software for insurance claims, payment operations, and health operations, sold to banks, insurers, and health plans. Three product lines run on one shared platform, built by a deliberately small, senior team. Our engineering model is agentic: engineers author the specifications, tooling, evaluation suites, and guardrails, and AI agents do most of the implementation. Humans own every consequential decision, and in our regulated domains some decisions are human-only by design. The role Our engineering model depends on infrastructure most companies treat as an afterthought. AI agents implement most of our code, which means the development loop (environments, builds, CI, the harnesses agents run in) is the engine of the whole organisation's velocity. Every minute an engineer or an agent waits on an environment, a flaky test, or an unreviewable diff is product not shipped. You will own that loop end to end, for people and for agents. The harness is a self-improving system: every failure, transcript, and evaluation verdict is fuel for the next version of the harness and, increasingly, for the models inside it.

Requirements

• Prior ownership of a development environment, build system, or paved-path workflow used by a multi-team engineering organization
• Strong Python plus container and Kubernetes fluency; comfort operating CI/CD systems at scale
• Direct experience deploying or operating AI coding agents (Claude Code, Cursor, Copilot, or in-house), beyond personal use
• You follow frontier agentic-systems research (harness design, reinforcement learning from execution feedback, evaluation methods) closely enough to put it into production within the quarter it lands
• A measurement habit: you can show numbers for a developer-experience improvement you shipped
• Daily, hands-on use of AI coding assistants as part of your own development workflow

Nice To Haves

• Hermetic build systems (Bazel, Buck, Nix, or similar) or monorepo tooling at scale
• Go or Rust; Git-at-scale experience
• You have built one-shot or unattended agent pipelines with hard failure caps and human escalation
• You have turned agent execution traces into training or evaluation datasets, or built reinforcement learning pipelines from execution feedback
• You have written publicly about developer experience or agent harnesses
• Financial services engineering exposure (banks, insurers, or payment providers)

Responsibilities

• Development environments end to end: fast, isolated, reproducible, for human engineers and for agent fleets, including sandboxes, ephemeral environments, and warm starts.
• Deterministic CI and the pre-push validation surface, so failures are caught at the desk, not in the pipeline.
• The agent harness: the tooling, permissions, retry limits, and orchestration blueprints our coding agents operate within, improved permanently every time an agent fails.
• The recursive improvement loop: agent transcripts, failure modes, and evaluation verdicts flow back into harness changes and model adaptation datasets automatically, so the system that builds our products improves itself.
• Evaluation-gated merges: the CI integration that makes eval suites a first-class merge gate.
• Measurement: cold-start times, agent PR merge rates, and review-time economics; you improve what you instrument.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed