обновлено 4 дня назад
Sr/Lead AI Harness Engineer
105 000 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr/Lead AI Harness Engineer (AI Coding Agents): Building and owning the guides, feedback loops, guardrails, testing systems, and observability controls that steer AI coding agents toward production-grade software with an accent on architecture, maintainability, quality, and safety. Focus on designing deterministic and LLM-based verification controls, preventing repeated agent errors through engineering feedback loops, and measuring the reliability and performance of agent-assisted development.
Location: Work from Home, United States
Targeted base pay range: $105,000–$165,000 per year
Company
is a global analytics software company helping businesses in more than 100 countries make better decisions through data, artificial intelligence, machine learning, and optimization.
What you will do
- Design, develop, deploy, and support harness components that steer AI coding agents toward correct, maintainable, and well-architected output.
- Build feedforward guides, reusable agent skills, architectural rules, reference documentation, and codemods.
- Develop feedback sensors including custom linters, static analysis, architecture-fitness tests, verification loops, and LLM-based reviewers.
- Run steering loops that prevent recurring agent mistakes and maintain repository documentation, specifications, and context.
- Contribute to quality gates, release criteria, and LLM testing for AI-generated software quality and safety.
- Improve observability and evaluate harness stability, compatibility, scalability, interoperability, performance, and development metrics.
Requirements
- Bachelor's or Master's degree in Computer Science or a related discipline, or relevant software architecture, design, development, and testing experience.
- Strong software engineering background with experience in large codebases, architecture, testing, and maintainability.
- Experience building tooling across linters, static analysis, CI pipelines, containerized build and test environments, and instrumentation or observability.
- Hands-on experience with AI coding agents such as Claude Code, Codex, or similar tools.
- Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work.
- Ability to communicate designs with architects and discuss strategy and requirements with teams.
Culture & Benefits
- Inclusive, people-first work environment based on ownership, customer focus, and mutual respect.
- Professional development through learning experiences and opportunities to leverage individual strengths.
- Competitive compensation, benefits, and rewards programs.
- Work-life balance, employee resource groups, and social events.
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