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2 дня назад

Software Engineer (AI)

150 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Релокация
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
Software Engineer (AI) (LLM agents and internal tooling): Building agentic harnesses, full-stack internal products, and engineering workflow tools to accelerate the production of frontier AI hardware with an accent on tool-calling, MCP, evaluation, and end-to-end ownership. Focus on identifying high-leverage production bottlenecks, deploying reliable LLM agents, and measuring adoption and performance in a business-critical environment.

Location: On-site in San Jose, United States (Santana Row). Relocation support is available for candidates moving to San Jose.

Salary: $150,000–$400,000+ annually, plus significant equity.

Company

hirify.global builds inference-focused hardware for frontier AI by co-designing chips, racks, software, and manufacturing systems.

What you will do

  • Embed with the production team to identify high-leverage bottlenecks and own solutions from concept through daily engineering use.
  • Build and deploy LLM agents integrated into engineering workflows through tool-calling and MCP.
  • Develop full-stack internal products, including interfaces, data pipelines, and infrastructure.
  • Design evaluations, measure tool effectiveness, and track adoption.
  • Work directly with the founders on time-sensitive, business-critical projects across the company.

Requirements

  • 1–5+ years of experience building and shipping software end to end.
  • Strong full-stack engineering skills and the ability to deliver working products.
  • Experience building LLM agents or AI tooling used by real users, including context engineering, tool integration, evaluations, and failure analysis.
  • Strong product sense, design judgment, attention to detail, and ownership of ambiguous problems.
  • Willingness to work fully in person and contribute across engineering and research disciplines.
  • Comfort working in a demanding environment that is not limited to a traditional 9-to-5 schedule.

Nice to have

  • Exposure to chip development, kernels, hardware, or manufacturing.
  • Infrastructure, data engineering, or DevOps experience.
  • Experience with fine-tuning, RAG over proprietary technical data, or multi-agent orchestration.
  • Startup experience, especially in a hypergrowth environment.

Culture & Benefits

  • Medical, dental, and vision coverage with generous premium support.
  • $500 monthly credit for waiving medical benefits.
  • $2,500 monthly housing subsidy for employees living within walking distance of the office.
  • Wellness benefits covering fitness and mental health.
  • Daily lunch and dinner at the office.
  • Unlimited compute budget subject to return-on-investment justification.

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