AI/ML Engineer

Bridge Core (BCore) • McLean, VA

22h • Onsite

About The Position

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a AI/ML Engineer in McLean, Virginia.

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.
• Willingness to work onsite full time.
• Senior Labor Category: 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

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

• 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 to support data retrieval and system integration.
• Design or refine Postgres schemas to improve data organization and query performance.

What This Job Offers

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