Sr/Lead AI Harness Engineer
Core
Design, develop, and support the 'harness' environment that steers AI coding agents to produce correct, maintainable, and well-architected software output, shifting verification from human audit to system enforcement.
Role type
Lead Harness Engineer (AI Agent Infrastructure)
Builds
The harness environment including feedforward guides, feedback sensors, steering loops, and quality gating mechanisms for AI-generated code.
Domain
AI Engineering / Software Development Lifecycle / Agent Orchestration
Deliverable
production ML models | infrastructure
Required skills
software architecture, static analysis, CI pipeline design, containerized environments, instrumentation/observability, agent instruction conventions, spec-driven development, fitness functions, developer-platform engineering, deterministic vs inferential control strategies, cost/speed/reliability trade-off analysis.
Preferred skills
experience with AI coding agents (Claude Code, Codex), mentorship, systems mindset.
Technologies
linters, static analysis tools, CI pipelines, containerized build/test environments, AGENTS.md, LLM-as-judge reviewers.
Responsibilities
Design and deploy harness components (guides, guardrails, context); build feedback sensors (custom linters, verification loops); engineer controls to prevent agent mistakes; track agent performance metrics (cost per PR, defect escape rate); evaluate harness stability and scalability; mentor junior team members.
Seniority
Senior, hands-on IC with mentorship responsibilities