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1 день назад

Agent Engineer (AI)

88 000 - 176 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Agent Engineer (AI): Designing and hardening multi-step, tool-using agent loops for a code intelligence platform with an accent on LLM selection, retrieval, and context engineering. Focus on building reliable enterprise-scale agentic systems, optimizing cost/latency, and developing pragmatic evaluation frameworks.

Location: Remote (Global). Working hours must overlap with EST for at least 20 hours/week. Preference for candidates residing in Europe or North America.

Salary: Target starting salaries vary by zone: $88,000 – $176,000 USD

Company

hirify.global is a code intelligence platform that empowers developers and agents to navigate and operate on massive, complex codebases.

What you will do

  • Design and implement reliable, observable, and affordable multi-step agent loops at enterprise scale.
  • Develop pragmatic evaluation systems to measure answer quality and prevent regressions.
  • Lead model selection, upgrading, and fine-tuning to balance cost, latency, and quality.
  • Optimize retrieval, ranking, and context windows to accurately ground models in customer code.
  • Act as the technical authority for agent engineering, setting standards and mentoring the team.

Requirements

  • Senior-level expertise in agent engineering, blending software engineering, ML, and statistics.
  • Proven experience building, training, and operating LLM-powered systems in production.
  • Ability to lead autonomously on ambiguous, high-risk technical problems.
  • Strong software engineering skills with proficiency in Go, TypeScript, GraphQL, and Postgres.
  • Must overlap with EST time zone for at least 20 hours per week.

Nice to have

  • Experience shipping LLM-powered or agentic products specifically for developers.
  • Expertise in building evaluation systems for ML products.
  • Experience with retrieval, ranking, embeddings, or search relevance.
  • Track record of mentoring engineers and raising team fluency in AI engineering.

Culture & Benefits

  • Globally distributed team with a culture of high agency and direct communication.
  • Transparent, competitive compensation bands based on location zones.
  • Equity grants to ensure shared success in the company's growth.
  • Generous perks and benefits as detailed in the company handbook.

Hiring process

  • Introduction: Recruiter screen followed by a Hiring Manager screen and resume deep dive.
  • Team Interview: Two technical interviews and one cross-functional collaboration/values session.
  • Final Stage: Leadership interview, reference checks, and background check.

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