Назад
23 минуты назад

Senior Mission Software Engineer (AI)

186 000 - 279 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Mission Software Engineer (AI): Building and deploying AI applications for U.S. government customers with an accent on end-to-end delivery from prototype to production. Focus on developing robust backend systems and data integrations to connect customer environments to Scale's platform.

Location: Hybrid. Must be based in or be able to relocate to Austin, TX; Honolulu, HI; St. Louis, MO; or Washington, DC.

Salary: $186,000 - $279,000 USD

Company

Developing reliable AI systems for the world's most important decisions, providing high-quality data and full-stack technologies that power leading AI models for enterprises and governments.

What you will do

  • Embed with government customers to understand missions, scope problems, and develop working software.
  • Own the end-to-end delivery process: designing, building, deploying, and maintaining solutions at customer sites.
  • Build robust backend systems and data integrations connecting customer environments to Scale's platform.
  • Partner with product and engineering teams to feed field signals back into the roadmap for reusable capabilities.
  • Serve as the technical point of contact for customer stakeholders to guide adoption and maximize mission impact.

Requirements

  • 5+ years of software engineering experience, ideally in customer-facing or government contexts.
  • Strong production coding skills in Python and TypeScript.
  • Comfort with cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals.
  • Active TS/SCI clearance is required.
  • Ability to operate independently in ambiguous, fast-moving environments and make trade-offs under pressure.

Nice to have

  • Experience building or deploying systems powered by LLMs or generative models.
  • Familiarity with Node, React, Kubernetes, Docker, and Terraform.
  • Data engineering background covering ETL pipelines, data modeling, and data governance.

Culture & Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits and equity compensation.
  • Learning and development stipend.
  • Generous PTO and commuter stipend.

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