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3 часа назад

Early Career Software Engineer (AI)

160 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Early Career Software Engineer (AI): Building AI-powered requirements engineering capabilities and agentic workflows for hardware engineering teams with an accent on full-stack development, LLM integrations, and systems validation. Focus on shipping production features, developing data pipelines and evaluation harnesses, and solving complex requirements engineering problems for rockets, satellites, and aircraft.

Location: San Francisco, on-site

Salary: $160K–$180K per year plus equity

Company

hirify.global builds an AI-native requirements platform that helps modern engineering organizations design, validate, and evolve complex hardware systems.

What you will do

  • Build and ship AI-powered features for assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions.
  • Contribute to agentic workflows that help engineers explore designs, simulate changes, and validate requirements.
  • Develop complete features across backend services, APIs, and user interfaces.
  • Build supporting infrastructure, including data pipelines, evaluation harnesses, prompt and model management, and observability.
  • Work directly with customers building rockets, satellites, and aircraft, observing usage and iterating on the product.
  • Learn and apply hardware requirements engineering concepts.

Requirements

  • 0–2 years of engineering experience; this is not a new graduate role.
  • Strong fundamentals in data structures, algorithms, distributed systems, and software development.
  • Demonstrated ability to build real software through internships, research, open-source work, or personal projects.
  • Some exposure to modern LLM tooling and genuine interest in building AI systems.
  • Clear technical communication and a pragmatic, customer-minded approach.
  • Comfort working with ambiguity and changing priorities.

Nice to have

  • Experience with TypeScript, Node.js, Python, Postgres, managed cloud services, LLM APIs, or orchestration libraries.

Culture & Benefits

  • High responsibility and autonomy early in the career.
  • Production code ownership from the first weeks.
  • Close collaboration with experienced engineers.
  • Exposure to AI engineering and deep hardware systems requirements work.
  • Equity included in the compensation package.

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