AI/ML Engineer

GRVTY • Sterling, VA

8d • $175,000 - $225,000

About The Position

The AI/ML Engineer will be responsible for implementing and maintaining RAG pipelines, integrating LLMs into applications, developing and maintaining REST API interactions, deploying and maintaining self-hosted LLMs, and performing red teaming of LLM alignment. The role requires a strong technical background in AI/ML, particularly in areas like Retrieval-Augmented Generation (RAG) and LLM integration. The company emphasizes a strong work-life balance, competitive pay, comprehensive benefits, and opportunities for professional growth.

Requirements

• Active TS/SCI with ability to obtain a Polygraph Clearance
• Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate
• Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments
• Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements
• Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows
• Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations

Nice To Haves

• Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines.
• Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts.
• Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools.
• Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows.
• Experience designing and integrating REST APIs and scalable data architectures.

Responsibilities

• Implementing and maintaining RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly
• Integrating LLMs into applications using available APIs and frameworks
• Developing and maintaining REST API interactions to support data retrieval and system integration
• Deploying and maintaining self-hosted LLMs
• Red teaming of LLM alignment

Benefits

• Robust health plan including medical, dental, and vision
• Health Savings Account with company contribution
• Annual Paid Time Off and Paid Holidays
• Paid Parental Leave
• 401k with generous company match
• Training and Development Opportunities
• Award Programs
• Variety of Company Sponsored Events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior