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2 дня назад

AI/ML Engineer

175 000 - 225 000$
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

Текст:
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TL;DR
AI/ML Engineer (RAG/LLM): Building and maintaining retrieval-augmented generation pipelines, LLM integrations, REST API interactions, and self-hosted language model deployments with an accent on semantic retrieval, prompt assembly, and AI/ML research. Focus on red teaming LLM alignment, evaluating emerging methodologies, and developing secure AI capabilities for national security missions.

Location: Sterling, Virginia, United States

Salary: $175,000–$225,000 USD annually

Company

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

What you will do

  • Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
  • Integrate LLMs into applications through APIs and modern frameworks.
  • Develop and maintain REST API interactions for data retrieval and system integration.
  • Deploy and maintain self-hosted LLMs.
  • Conduct red teaming of LLM alignment and support evolving national security mission requirements.

Requirements

  • Active TS/SCI clearance and ability to obtain a polygraph clearance.
  • At least 8 years of experience with a bachelor's degree, 7 years with a master's degree, or 6 years with a doctorate.
  • Independent technical research and advanced analytical problem-solving comparable to a PhD-level research environment.
  • Experience developing AI/ML applications focused on RAG, semantic retrieval, LLM integration, or related workflows.
  • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
  • Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks.

Nice to have

  • Advanced research experience in machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, or related disciplines.
  • Research publications, open-source AI/ML contributions, or experience leading experimental and prototype development.
  • Experience with model evaluation, fine-tuning, inference optimization, AI observability, vector databases, AWS, Docker, and containerized AI/ML workflows.
  • Experience designing REST APIs and scalable data architectures.

Culture & Benefits

  • Comprehensive 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 and financial wellness support.
  • Training and development opportunities, award programs, and company-sponsored events.

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