Principal Harness Engineer

Posted Nov 3

This is a fully remote position, open to applicants in Bulgaria.

πŸ“‹ Description

β€’ Design, construct, deploy, and maintain core harness elements, including guides, feedback loops, guardrails, and shared context.

β€’ Take ownership of and enhance feedforward guides, such as agent instruction files, reusable skills, architectural guidelines, reference documents, and codemods.

β€’ Promote team-wide standardization for outputs generated by agents.

β€’ Develop feedback sensors, including custom linters, static analysis tools, structural and architecture-fitness tests, verification loops, and LLM-as-judge reviewers.

β€’ Manage quality gating and establish release criteria for outputs produced by agents.

β€’ Define authority boundaries for unaided agent merges and create escalation protocols for human review.

β€’ Create LLM testing frameworks and assessment strategies for the quality and safety of AI-generated outputs.

β€’ Implement consumer/contract testing when service integration reliability is crucial.

β€’ Operate the steering loop to avoid recurrent agent errors and maintain repository knowledge as the system of record.

β€’ Determine the running of controls across pre-commit, post-integration, and ongoing drift-monitoring phases.

β€’ Enhance visibility into agent work and monitor metrics such as cost per merged PR, time-to-merge, review velocity, defect escape rate, and agent-PR survival rate.

β€’ Collaborate with product and platform teams to translate specifications and acceptance criteria into enforceable controls.

β€’ Act as a technical expert and mentor engineers on harness practices and responsible use of AI tools.


⛳️ Requirements

β€’ Bachelor's or Master's degree in Computer Science or related fields, or equivalent commercial experience in software architecture, design, development, and testing.

β€’ Proven experience as a seasoned software engineer with extensive, complex codebases.

β€’ Strong grounding in architecture and design principles.

β€’ Practical experience with AI coding agents such as Claude Code, Codex, or similar technologies.

β€’ Experience in developing engineering tools within a modern stack, including linters, static analysis, CI/CD pipelines, containerized build/test environments, and instrumentation/observability.

β€’ Familiarity with agent instruction conventions, such as AGENTS.md.

β€’ Experience with specification-driven development, context engineering, agent orchestration, fitness functions, and developer-platform collaboration.

β€’ Capability to encode engineering standards into mechanical, repeatable rules.

β€’ Judicious selection of deterministic computational controls versus inferential LLM-based controls, with insight into cost, speed, and reliability trade-offs.

β€’ Experience in managing quality-gating processes and establishing release criteria.

β€’ Working knowledge of autonomous-agent security, including prompt injection, tool/permission scoping, sandboxed execution, audit trails, and least-privilege guardrails.

β€’ Familiarity with consumer/contract testing methodologies, such as Pact.

β€’ Exceptional communication skills, with the ability to articulate designs with architects and promote standards across teams.


🏝️ Benefits

β€’ Highly competitive compensation, benefits, and rewards programs.

β€’ Focus on work/life balance.

β€’ Employee resource groups.

β€’ Social events.

β€’ Opportunities for professional development and valuable learning experiences.

β€’ An inclusive, people-first work environment.

β€’ Equal employment and advancement opportunities regardless of protected characteristics.

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