1 день назад
AI/ML Engineer
150 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (RAG/LLM): Building and maintaining RAG pipelines, LLM integrations, REST API interactions, and Postgres schemas for national security technology projects with an accent on semantic retrieval, AI/ML research, and system integration. Focus on designing retrieval workflows, evaluating emerging AI/ML methodologies, optimizing data organization and query performance, and delivering solutions within onsite mission requirements.
Location: McLean, Virginia, United States; onsite full time, 40 hours per week, Monday–Friday. Core office hours coverage is required from 10AM–2PM.
Salary: $150,000–$250,000 USD per year.
Company
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 using available APIs and frameworks.
- Develop and maintain REST API interactions for data retrieval and system integration.
- Design and refine Postgres schemas to improve data organization and query performance.
- Conduct technical research and apply emerging AI/ML methodologies to evolving mission requirements.
Requirements
- Active TS/SCI clearance with Polygraph is required.
- 6–8+ years of experience depending on education: 8 years with a bachelor’s degree, 7 with a master’s degree, or 6 with a doctorate.
- Experience developing AI/ML applications involving RAG, semantic retrieval, LLM integration, or related workflows.
- Strong proficiency in Python, modern AI/ML libraries, frameworks, and API integrations.
- Ability to perform independent technical research, evaluate emerging approaches, and rapidly learn new tools and methodologies.
- Ability to work onsite full time in McLean, Virginia, covering the Sponsor’s core office hours.
Nice to have
- Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related fields.
- Research publications, open-source AI/ML contributions, or experience leading experimental and prototype development.
- Familiarity with model evaluation, fine-tuning, inference optimization, and AI observability tools.
- Experience with vector databases, AWS, Docker, and containerized AI/ML workflows.
- Experience designing REST APIs and scalable data architectures.
Culture & Benefits
- Medical, dental, and vision coverage.
- Health Savings Account with a company contribution.
- Annual paid time off, paid holidays, and paid parental leave.
- 401(k) with a company match.
- Training and development opportunities, award programs, and company-sponsored events.
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