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1 день назад

Software Engineer (AI)

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

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TL;DR
Software Engineer (AI): Building and maintaining AI inference infrastructure that provides users with access to high-quality LLMs across the inference software stack with an accent on model configuration, reliable serving, and cloud-native services. Focus on preparing new inference models for production, developing reliable pipelines for closed-source models, and integrating LLM-powered tools into customer infrastructure.

Location: Requires Top Secret/SCI with Full Scope Poly clearance

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

Company

hirify.global builds software and AI infrastructure supporting customer mission needs and AI-enabled applications.

What you will do

  • Procure, configure, test, and prepare new inference models for release to users.
  • Build in-house services and techniques that maintain reliable, high-quality inference.
  • Develop dependable pipelines for using closed-source models in collaboration with model vendors.
  • Support short-term, high-priority inference requirements as mission needs evolve.
  • Establish infrastructure for AI services and integrate LLM-powered tools for user needs.

Requirements

  • Top Secret/SCI clearance with Full Scope Poly required.
  • Experience with Python or other modern programming languages.
  • Familiarity with Argo CD or other CI/CD frameworks.
  • Experience with Kubernetes and Helm.
  • Familiarity with AWS or other cloud service providers.
  • At least 3 years of experience, plus a bachelor's degree in a technical discipline or 4 additional years of experience in place of the degree.

Nice to have

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

Culture & Benefits

  • Immediately vested company 401(k) contributions of $41,000–$44,000.
  • Continuous learning is expected as mission needs and technologies evolve.
  • Work involves collaboration with model vendors and internal infrastructure teams.
  • Strong communication and willingness to ask questions are valued.

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