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2 дня назад

Director/Senior Manager - AI Harness Engineering

150 500 - 236 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
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
Director/Senior Manager - AI Harness Engineering (AI coding agents): Building the guides, feedback loops, guardrails, and observability systems that enable AI coding agents to produce reliable, maintainable software at scale with an accent on automated verification, governance, and quality enforcement. Focus on designing deterministic and LLM-based controls, securing autonomous agent workflows, and leading a distributed engineering organization.

Location: Work from Home, United States

Salary: $150,500–$236,500 base pay annually

Company

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

What you will do

  • Design and build the AI engineering harness, including agent guides, reusable skills, architectural rules, feedback loops, guardrails, and shared repository context.
  • Develop automated quality controls such as linters, architecture-fitness tests, verification loops, LLM-as-judge reviewers, and continuous drift sensors.
  • Own regional AI governance, including agent authority boundaries, LLM testing infrastructure, quality gates, security controls, and compliance thresholds.
  • Define observability and performance metrics for agent-assisted development, including merge time, review velocity, defect escape rate, and agent-PR survival rate.
  • Set cross-organizational engineering quality standards and align harness capabilities with platform, product, and delivery roadmaps.
  • Manage, coach, and grow a geographically distributed team while communicating strategy and standards across engineering and product organizations.

Requirements

  • Strong hands-on software engineering experience with large, complex codebases and a focus on architecture, testing, and maintainability.
  • Experience using AI coding agents such as Claude Code, Codex, or similar tools.
  • Experience building engineering tooling, including static analysis, CI/CD pipelines, containerized build and test environments, and observability instrumentation.
  • Knowledge of spec-driven development, context engineering, agent orchestration, fitness functions, developer platforms, and AGENTS.md-style conventions.
  • Experience with AI governance, quality standards, LLM testing infrastructure, and quality gates for AI-generated artifacts.
  • Experience securing autonomous agents through prompt-injection defenses, permission scoping, sandboxed execution, audit trails, and least-privilege guardrails; strong experience managing distributed engineering teams is required.

Nice to have

  • Bachelor's or Master's degree in Computer Science or a related discipline, or equivalent relevant experience.

Culture & Benefits

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

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