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Internal AI Operator (AI)

235 000 - 260 000$
Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Internal AI Operator (AI): Owns the internal agent stack, drives AI adoption across teams, and uses token-spend data to improve useful output and inference efficiency with an accent on agent harnesses, model routing, and hands-on enablement. Focus on building MCP servers, hooks, evals, and internal tooling while helping teams adopt coding agents and managing cost per useful token.

Location: San Francisco, CA; hybrid with onsite attendance 3+ days per week. Must be authorized to work in the United States. Visa sponsorship is not available.

Salary: $235,000–$260,000 USD/year. Competitive equity is also offered.

Company

hirify.global provides an API that converts web pages into clean, LLM-ready markdown or structured data for AI agents.

What you will do

  • Own the internal AI stack, including agent harnesses, configurations, shared skills, and model routing.
  • Roll out coding agents and AI workflows across teams, starting with the revenue organization.
  • Pair with employees to build practical agent workflows and drive sustained adoption.
  • Analyze token-spend data, improve cost per useful token, and optimize model selection, routing, caching, and workflows.
  • Build missing infrastructure in code, including MCP servers, hooks, evaluations, and internal tooling.
  • Track changes in Claude Code, Cursor, Codex, and emerging AI development tools.

Requirements

  • 4+ years of relevant experience as an engineer or highly technical operator.
  • Experience rolling out coding agents or AI tooling across a team and demonstrating adoption beyond a pilot.
  • Strong hands-on experience with Claude Code, Cursor, Codex, or comparable AI development tools.
  • Ability to write code and build missing harness functionality, MCP servers, hooks, evaluations, and internal tools.
  • Experience using spend or usage data to improve inference efficiency and output.
  • Strong communication and emotional intelligence, with the ability to teach and drive behavioral change through hands-on pairing.

Nice to have

  • Background as a founder, early startup engineer, or leader of a difficult tooling change.
  • Experience making AI adoption stick across teams with different workflows and levels of technical familiarity.

Culture & Benefits

  • Fast-paced startup environment with substantial individual ownership and urgency.
  • Competitive equity, 15 days of mandatory PTO with additional time available, and 12 weeks of paid parental leave.
  • $100 monthly wellness stipend and up to $1,000 per year for professional learning and development.
  • Medical, dental, and vision coverage, plus life, disability, mental-health, fertility, and family-building benefits.
  • 401(k), HSA, FSA, commuter benefits, and supplemental insurance options.
  • Team offsites, a three-month paid sabbatical after four years, and San Francisco HQ perks including meals, snacks, drinks, and an e-bike loaner.

Hiring process

  • Application review with a resume and a link to something built or rolled out.
  • Intro chat, technical chat, founder chat, and a paid approximately 40-hour work trial.
  • Decision is made quickly after the work trial.

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