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6 часов назад

Staff Software Engineer (AI)

240 000 - 280 000$
Формат работы
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

Текст:
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TL;DR
Staff Software Engineer (AI): Building production AI-powered requirements features and agentic workflows for hardware engineering teams with an accent on LLM integration, retrieval-augmented systems, and full-stack delivery. Focus on designing reliable model-driven capabilities, evaluation and observability infrastructure, and scalable cloud services from prototype to production.

Location: San Francisco, United States; on-site

Salary: $240,000–$280,000 per year plus equity

Company

hirify.global develops an AI-native requirements platform for engineering organizations and hardware teams.

What you will do

  • Design and ship AI-powered features for requirement drafting, consistency checks, impact analysis, and intelligent suggestions.
  • Build agentic workflows that help systems and domain engineers explore designs, simulate changes, and validate requirements.
  • Evaluate and integrate language models while optimizing reliability, latency, cost, and debuggability in production.
  • Build data pipelines, evaluation harnesses, prompt and model management, observability, and safety guardrails.
  • Develop complete AI features across backend integrations, APIs, and simple UI hooks.
  • Partner with product and customers to identify high-value workflows, run experiments, and iterate based on usage.

Requirements

  • 8+ years of experience developing, designing, testing, and operating production software at scale in a cloud environment.
  • Hands-on experience with modern LLM providers and tooling, including OpenAI, Anthropic, Hugging Face, vector stores, and RAG patterns.
  • Experience with prompt design, retrieval-augmented systems, evaluation methods, and safety or guardrail approaches.
  • Ability to evaluate tradeoffs between models, architectures, and deployment patterns and make pragmatic technical decisions.
  • Experience with TypeScript, Node, Python, modern LLM APIs, orchestration libraries, Postgres, and managed cloud services.
  • Comfort working in a high-ownership, fast-paced environment focused on experimentation and iteration.

Culture & Benefits

  • Competitive salary and meaningful equity.
  • Health, dental, and vision coverage.
  • Flexible time off.
  • Support for experimentation, learning, and staying current with the AI ecosystem.
  • Emphasis on rapid prototyping, clear ownership, evaluation, observability, and safety from the first version.

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