22 часа назад
AI/ML Engineer (AI/ML)
165 000 - 220 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (AI/ML) (LLM/RAG): Building production AI/ML applications with agent-based workflows, LLM integrations, retrieval-augmented generation, and Python REST services with an accent on orchestration, data processing, and enterprise deployment. Focus on designing agent architectures, optimizing retrieval and memory, integrating external tools, and improving application reliability, performance, and scalability.
Location: McLean, VA; full-time onsite work required. U.S. citizenship and an active TS/SCI clearance with required polygraph are required.
Salary: $165,000–$220,000–$242,000 annually in the Washington, DC metropolitan area. Up to $15,000 sign-on bonus.
Company
develops spatial intelligence solutions that help decision makers and operators understand current events and plan for the future.
What you will do
- Develop and maintain AI/ML applications using agent-based workflows, LLM integrations, and retrieval-augmented generation.
- Design agent architectures covering orchestration logic, tool use, memory management, and external system integrations.
- Build RAG pipelines for document processing, embedding generation, retrieval configuration, prompt assembly, and response optimization.
- Develop Python-based REST APIs and support full-stack production AI applications.
- Process structured and unstructured data and refine Postgres schemas and data models.
- Optimize enterprise applications for performance, reliability, usability, maintainability, and scalability.
Requirements
- Bachelor’s degree in computer science or a related field.
- Senior-level experience: 8 years with a bachelor’s degree, 7 years with a master’s degree, or 6 years with a doctorate.
- U.S. citizenship and an active/current TS/SCI security clearance with required polygraph.
- Willingness to work onsite full time in McLean, Virginia.
- Proficiency in Python and common data and AI libraries.
- Experience developing LLM-integrated applications, RAG workflows, agent-based applications, REST APIs, and production-ready software.
Nice to have
- Experience with MCP or similar protocols, vector databases, embedding models, semantic search, and LLM memory management.
- Experience with FastAPI or Flask, Docker, AWS, Postgres, and full-stack agent-based applications.
- Experience optimizing prompts, tool orchestration, latency, context windows, evaluation, observability, and cost-performance tradeoffs.
Culture & Benefits
- Competitive total rewards package with a 401(k) and company match.
- Mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
- Inclusive workplace with equal employment opportunity.
Hiring process
- Submit an application through ’s careers page.
- The posting remains open until a qualified candidate is identified, subject to the stated posting window.
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