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6 часов назад

AI Engineer

140 000 - 170 000$
Формат работы
hybrid
Тип работы
fulltime
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
AI Engineer (Agentic AI/LangChain): Building production-grade AI features, agent-based workflows, and evaluation pipelines for an enterprise demand intelligence platform with an accent on retrieval, orchestration, and reliable system integration. Focus on designing multi-step inference systems, measuring RAG and agent performance, balancing accuracy, latency, and cost, and enabling agents to take action with human-in-the-loop controls.

Location: Hybrid in San Francisco, United States; occasional travel for team meetings, offsites, or customer engagements.

Base salary: $140,000–$170,000 per year, plus equity and bonus eligibility.

Company

hirify.global is building a reasoning engine and demand intelligence platform that orchestrates multi-step inference across complex enterprise data.

What you will do

  • Design, build, and maintain AI-driven features and pipelines serving enterprise customers at scale.
  • Architect and implement agent-based workflows using LangChain, LangGraph, or equivalent orchestration frameworks.
  • Own AI systems end to end, from experimentation through production deployment, monitoring, and iteration.
  • Build evaluation pipelines and custom metrics to measure and improve AI system performance.
  • Develop retrieval strategies combining RAG, graph-based retrieval, and other approaches across heterogeneous data.
  • Integrate agents with external platforms and workflows, including human-in-the-loop checkpoints and escalation paths.

Requirements

  • Strong software engineering skills with clean, testable, production-ready code.
  • Hands-on experience with LangChain, LangGraph, or equivalent agent and orchestration frameworks.
  • Ability to communicate technical decisions, progress, and architecture tradeoffs clearly.
  • Strong ownership, autonomy, and ability to make pragmatic decisions in ambiguous and fast-changing environments.
  • Availability and responsiveness suited to an early-stage startup environment.

Nice to have

  • Experience building evaluation pipelines and systematic metrics for AI systems.
  • Backend engineering experience with APIs, services, data infrastructure, or production systems.
  • Experience with RAG, vector databases, or LLM-powered search and recommendation systems.
  • Experience working at an early-stage startup or in a high-growth environment.

Culture & Benefits

  • High-autonomy environment with direct collaboration across the founding, product, data, and go-to-market teams.
  • Health, dental, and vision premiums covered at 100% for employees.
  • 401(k) plan through Human Interest with an employer match that vests immediately.
  • Generous paid time off and commuter support for employees based in San Francisco.
  • Lunch vouchers provided for the San Francisco office.

Hiring process

  • The hiring journey details are not specified in the posting.

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