AI/ML Engineer

About the role

Join our growing team supporting customer missions as a AI/ML Engineer in McLean, Virginia. Implement and maintain RAG pipelines, integrate LLMs into applications, develop and maintain REST API interactions, and design or refine Postgres schemas.

Responsibilities

• Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
• Develop and maintain REST API interactions to support data retrieval and system integration.
• Design or refine Postgres schemas to improve data organization and query performance.

Requirements

• 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.

Qualifications

• 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.

Skills

• Python
• Modern AI/ML libraries, frameworks, and API integrations
• Model evaluation frameworks
• Model fine-tuning workflows
• Inference optimization
• AI observability/monitoring tools
• Vector databases
• AWS/cloud environments
• Docker
• REST APIs
• Scalable data architectures

Benefits

• Health/Dental/Vision
• 401(k)
• Paid Time Off
• STD/LTD/Life Insurance/Voluntary Life Insurance
• Stipends
• Referral Bonuses

Pay

The expected salary range within the Washington, DC metropolitan area is $185,000 - 225,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements.

Schedule

N/A