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AI/ML Engineer

  • Job type Posted on: Jul 14, 2026
  • Experience level B/CORE
  • Employment type Mc Lean, Virginia
  • Remote status Salary: $185,000 per year
  • Employment type Onsite
  • Salary Full-time

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Job Title :

AI/ML Engineer

Job Type :

Full-time

Job Location :

Mc Lean Virginia United States

Remote :

No

Jobcon Logo Job Description :

Job Overview 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. Location McLean, Virginia Role AI/ML Engineer 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. Required Qualifications 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. Desired 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. 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. This is not a guarantee. Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more. BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 14, 2026

Reference Number:

14660_E03466E309734AA4AC38647B9D948C86

Employment:

Full-time

Salary:

Not Available

City:

Mc Lean

Job Origin:

APPCAST_CPC

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Job Overview 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. Location McLean, Virginia Role AI/ML Engineer 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. Required Qualifications 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. Desired 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. 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. This is not a guarantee. Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more. BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. #J-18808-Ljbffr

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