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5 дней назад

Senior Software Engineer (AI Infrastructure)

260 000 - 285 000$
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
Senior Software Engineer (AI Infrastructure): Building and maintaining infrastructure for customer AI capabilities, with an accent on LLM inference quality, model deployment, and cloud-native services. Focus on evaluating and deploying inference models, developing reliable inference services, and translating evolving stakeholder needs into production engineering solutions.

Location: U.S. security-cleared role; candidates must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying.

Salary: $260,000–$285,000 per year, plus $65,000–$71,000 in immediately vested company 401(k) contributions.

Company

Builds software and AI infrastructure supporting customer mission and technology needs.

What you will do

  • Lead the evaluation, configuration, and deployment of inference models.
  • Build and maintain infrastructure that supports customer AI capabilities and AI-enabled applications.
  • Develop services and techniques that ensure consistently high-quality inference.
  • Translate high-level stakeholder goals into engineering outcomes and integrate LLM-powered tools.
  • Mentor engineers and improve development practices, standards, and infrastructure.
  • Support short-term, high-priority inference requirements in collaboration with other teams.

Requirements

  • Must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying.
  • Clearance sponsorship or processing is not available for this position.
  • 12 years of experience, plus a bachelor’s degree in a technical discipline or 4 additional years of experience instead of the degree.
  • Experience with Python or other modern programming languages, Argo CD or CI/CD frameworks, Kubernetes and Helm, and AWS or other cloud providers.
  • Strong communication, leadership, stakeholder management, mentoring, and coordination skills.
  • Ability to balance hands-on engineering with leadership responsibilities.

Nice to have

  • Experience with vLLM, LiteLLM, or similar inference-serving frameworks.
  • Experience with LLM hosting frameworks, SRE practices, traffic shaping, or quality-of-service engineering.
  • Experience with Elastic, Grafana, Prometheus, Docker, and containerization.
  • Knowledge of and interest in hosting AI capabilities.

Culture & Benefits

  • Immediately vested company 401(k) contributions of $65,000–$71,000.
  • Work includes evolving mission requirements and emerging technologies.
  • Opportunities to mentor engineers and establish development standards.

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