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обновлено 6 дней назад

Sr/Lead AI Harness Engineer

105 000 - 165 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr/Lead AI Harness Engineer (AI/software engineering): Building and operating harness components that guide AI coding agents toward correct, maintainable, production-grade software with an accent on guardrails, feedback loops, static analysis, and LLM-based verification. Focus on designing mechanical quality controls, improving agent observability, and balancing deterministic testing with inferential AI review.

Location: Work from Home, United States

Targeted base pay range: $105,000–$165,000 per year

Company

hirify.global is a global analytics software company that develops solutions for credit scoring, fraud detection, lending, and business decision-making.

What you will do

  • Design, develop, deploy, and support harness components that guide AI coding agents toward production-grade software.
  • Build feedforward controls including agent instruction files, reusable skills, architectural rules, reference documentation, and codemods.
  • Develop feedback sensors such as custom linters, static analysis, architecture-fitness tests, verification loops, and LLM-based reviewers.
  • Engineer controls that prevent recurring agent mistakes and maintain repository documentation, specifications, and context.
  • Contribute to quality gates, release criteria, LLM testing, and observability for agent-assisted development.
  • Evaluate harness stability, compatibility, scalability, interoperability, and performance while mentoring junior engineers.

Requirements

  • Bachelor’s or master’s degree in computer science or a related discipline, or relevant software architecture, development, and testing experience.
  • Strong software engineering experience with large codebases, architecture, testing, and maintainability.
  • Experience building tooling across linters, static analysis, CI pipelines, containerized build and test environments, and 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 engineering teams.

Culture & Benefits

  • Inclusive, people-first work environment based on ownership, customer focus, and mutual respect.
  • Professional development through learning experiences and opportunities to apply individual strengths.
  • Competitive compensation, benefits, and rewards programs.
  • Work/life balance, employee resource groups, and social events.

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