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9 дней назад

Software Engineer (AI Infrastructure)

163 000 - 178 000$
Тип работы
fulltime
Грейд
middle
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
Software Engineer (AI Infrastructure): Building and maintaining infrastructure and services for high-quality LLM inference across customer AI applications with an accent on model procurement, configuration, testing, and reliable production deployment. Focus on developing inference pipelines, integrating closed-source models, supporting high-priority customer needs, and establishing Kubernetes- and cloud-based service infrastructure.

Location: Applicants must already hold a current TS/SCI clearance with a Full Scope Polygraph before applying. Clearance sponsorship or processing is not available.

Salary: $163,000–$178,000 per year, plus $41,000–$44,000 in immediately vested company 401(k) contributions.

Company

Builds AI infrastructure and supporting software for customer organizations and AI-enabled applications.

What you will do

  • Procure, configure, test, and prepare inference models for user release.
  • Develop services and techniques that maintain high-quality, continuous inference.
  • Work with model vendors to build reliable pipelines for closed-source model usage.
  • Support short-term, high-priority inference requirements during surge efforts.
  • Establish service infrastructure and integrate LLM-powered tools with other organizational teams.

Requirements

  • Current TS/SCI clearance with Full Scope Polygraph required before applying.
  • At least 3 years of professional experience.
  • Bachelor's degree in a technical discipline, or 4 additional years of experience in place of the degree.
  • Experience with Python or other modern programming languages.
  • Familiarity with Argo CD or other CI/CD frameworks, Kubernetes, Helm, and AWS or another cloud provider.
  • Ability to learn new technologies quickly and communicate effectively.

Nice to have

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

Culture & Benefits

  • Work on evolving AI infrastructure requirements and emerging technologies.
  • Immediate vesting of $41,000–$44,000 in company 401(k) contributions.
  • Collaborative work with infrastructure, model vendor, and customer-facing teams.

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