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2 дня назад

Software Developer (Systems Software) (AI/LLM)

150 000 - 250 000$
Формат работы
onsite
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

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TL;DR
Software Developer (Systems Software) (AI/LLM): Building, deploying, and maintaining enterprise-grade systems for cyber and SIGINT exploitation of large-scale networks, with an accent on AI/LLM integration, secure architectures, and distributed cloud processing. Focus on integrating models into legacy systems, designing containerized and zero-trust platforms, and solving complex cybersecurity and data pipeline challenges.

Location: Chantilly, Virginia, United States

Salary: $150,000–$250,000 USD per year

Company

hirify.global delivers mission and technical expertise for national security, technology, and defense challenges.

What you will do

  • Provide cyber and SIGINT exploitation of large-scale networks and the data carried on them.
  • Uncover unknown and emerging adversary capabilities using exploitation expertise.
  • Build, deploy, and maintain enterprise-grade software and systems.
  • Integrate AI and large language models into legacy architectures, APIs, and enterprise systems.
  • Develop scalable solutions using containerization, orchestration, cloud infrastructure, and distributed processing.
  • Collaborate with technical teams, translate client requirements into system designs, and mentor junior engineers.

Requirements

  • Active TS/SCI clearance with polygraph is required.
  • 7+ years of experience in software development or systems engineering.
  • 5+ years of experience supporting offensive or defensive cyber operations.
  • Experience integrating AI and LLMs into legacy architectures, APIs, and enterprise systems.
  • Experience with Docker, Kubernetes, containerization, orchestration, and cluster management.
  • Knowledge of zero-trust architecture, secure API gateways, AI/LLM data governance, cloud infrastructure, network engineering, system security, and model-serving data pipelines.

Nice to have

  • Experience with MLOps or LLMOps tools and CI/CD pipelines, including MLflow, Kubeflow, or GitLab CI.
  • Experience with high-performance networking, software, and hardware.
  • Master’s degree in Computer Science, Artificial Intelligence, or Systems Engineering.
  • Cloud Architecture or DevOps certification, such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or CKA.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Health Savings Account with company contribution.
  • Paid time off, paid holidays, and paid parental leave.
  • 401(k) with company match.
  • Training and development opportunities, award programs, and company-sponsored events.
  • Employee-focused work-life balance and professional growth opportunities.

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