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10 дней назад

Agentic Engineering Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
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
Agentic Engineering Manager (AI): Leading engineering teams building an Agent SDK and platform infrastructure including RAG pipelines, sandboxed code execution, evaluation frameworks, and observability with an accent on platform correctness, safety, and reliability at scale. Focus on setting standards for AI agent specifications, delegated execution, verification, security, and the delivery of internal developer platforms.

Location: Utah, United States; hybrid with regular in-office days each week

Company

hirify.global develops HR software and a people intelligence platform for small and midsized businesses.

What you will do

  • Manage 1–2 scrum teams building the Agent SDK, RAG pipeline, sandboxed code execution environment, evaluation frameworks, and observability capabilities.
  • Set standards for agent specifications, delegated execution, verification, SDK conventions, guardrails, evaluation harnesses, and playbooks.
  • Partner with platform consumers to shape the SDK roadmap, APIs, and guardrails.
  • Coach and mentor engineers on agentic engineering practices and coordinate concurrent platform workstreams.
  • Own the execution roadmap, sprint goals, quarterly OKRs, performance accountability, and delivery expectations.
  • Collaborate with Product Management, UX Designers, and Tech Leads; participate in hiring and continuous process improvement.

Requirements

  • 10+ years of software development experience and 2+ years of demonstrable technical leadership.
  • Experience building or operating platform-level engineering teams, internal SDKs, developer platforms, or infrastructure used by other teams.
  • Experience managing or working with engineers who use AI coding agents to build production software.
  • Proficiency in context engineering, including repository and task context structuring and standards for agent specifications.
  • Familiarity with RAG, sandboxed code execution, evaluation frameworks, observability, object-oriented development, SaaS, Git, process documentation, and performance metrics.
  • Exceptional interpersonal and communication skills.

Nice to have

  • Hands-on experience with LLM tooling, vector databases, isolated code execution, agent evaluation, tracing, prompt/response logging, or evaluation harnesses.
  • Experience defining verification and security standards for agent-generated code, including injection, data handling, and unsafe output.
  • Knowledge of high-volume data storage and access practices.
  • MySQL and MSSQL query language and database design experience.

Culture & Benefits

  • Values-driven culture focused on openness, integrity, sustainable growth, and doing the right thing.
  • Professional and personal development opportunities.
  • Competitive benefits and flexibility to support work and life outside the office.
  • Hybrid work environment with regular in-office collaboration in Utah.

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