Назад
Company hidden
51 минуту назад

Staff Software Engineer, Public Sector (AI)

252 000 - 362 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Staff Software Engineer, Public Sector (AI): Building agentic capabilities for federal datasets and real-time decision-making with an accent on guardrails, explainability, data retrieval, and asynchronous agent orchestration. Focus on designing reliable systems across multiple security classifications and network types, communicating architectural trade-offs to senior stakeholders, and shaping the technical roadmap for AI-powered federal solutions.

Location: San Francisco, St. Louis, New York, or Washington, DC, United States

Salary: $188,800–$272,000, $227,200–$326,000, or $252,000–$362,000 USD, depending on location.

Company

hirify.global develops reliable AI systems, high-quality data products, and full-stack technologies for enterprises and government agencies.

What you will do

  • Orchestrate feature implementation across the Federal engineering team and maintain architectural consistency.
  • Define technical strategies for agentic guardrails, explainability, data retrieval, and fleet orchestration.
  • Ensure reliability and performance across multiple security classifications and network types.
  • Mentor engineers in requirements definition, stakeholder collaboration, and acceptance gathering.
  • Communicate technical trade-offs and implementation strategies to senior government stakeholders and hirify.global executives.
  • Influence the Federal business unit’s product strategy and technical roadmap while advising on AI-powered solutions for large-hirify.global contracts.

Requirements

  • Proficiency in full-stack development, including frontend, backend, infrastructure, modern web frameworks, programming languages, and databases.
  • Experience with cloud-native application development and deployment; familiarity with AWS, Azure, or GCP.
  • Knowledge of ETL processes, data pipelines, data modeling, data warehousing, and data governance.
  • Familiarity with LLM integration, prompt engineering, retrieval-augmented generation, and agentic workflows.
  • Strong analytical, problem-solving, collaboration, and communication skills, including the ability to explain technical concepts to non-technical stakeholders.
  • Willingness to learn new technologies and adapt to evolving project requirements.

Culture & Benefits

  • Health, dental, and vision coverage.
  • Retirement benefits and equity compensation for eligible roles.
  • Learning and development stipend.
  • Generous paid time off and potential commuter stipend.
  • Inclusive equal-opportunity workplace with reasonable accommodations available.

Hiring process

  • Salary placement and role level are determined during the interview process based on location, qualifications, experience, and interview performance.
  • A 90-day waiting period applies before reconsideration for the same role.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →