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3 дня назад

Director - Harness Engineering (AI)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UK
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
Director - Harness Engineering (AI): Building the engineering environment that enables AI coding agents to produce reliable, maintainable, and production-grade software with an accent on guardrails, feedback loops, governance, and quality automation. Focus on designing agent orchestration controls, LLM testing infrastructure, observability, and distributed engineering leadership.

Location: Remote from the United Kingdom

Company

hirify.global is a global analytics software company that helps businesses use data, artificial intelligence, and optimization to make better decisions.

What you will do

  • Design, build, and evolve the harness components that guide AI coding agents toward production-grade engineering output.
  • Create agent instructions, reusable skills, architectural rules, reference documentation, codemods, linters, fitness tests, verification loops, and LLM-based reviewers.
  • Own regional AI governance, quality gates, testing infrastructure, security controls, and authority boundaries for agent-generated changes.
  • Define observability and performance metrics for agent-assisted development, including merge time, review velocity, defect escape rate, and PR survival.
  • Manage, coach, and grow a geographically distributed team of harness engineers while setting goals and quality standards.
  • Partner with engineering and product leaders to convert specifications and acceptance criteria into enforceable controls.

Requirements

  • Bachelor’s or master’s degree in computer science or a related discipline, or equivalent commercial experience.
  • Strong hands-on software engineering experience across large, complex codebases, including architecture, testing, and maintainability.
  • Practical experience with AI coding agents such as Claude Code, Codex, or similar tools.
  • Experience with engineering tooling, static analysis, CI/CD, containerized build and test environments, instrumentation, and observability.
  • Knowledge of spec-driven development, context engineering, agent orchestration, fitness functions, developer platforms, and AGENTS.md conventions.
  • Experience leading distributed engineering teams and establishing AI governance, security guardrails, quality standards, and LLM testing infrastructure.

Culture & Benefits

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

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