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A.I. Engineer (LLM/ RAG/ AI/ML
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ClearanceJobs.com
Fort Meade, MD (In Person)
Full-Time
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Job Description
A.I. Engineer (LLM/ RAG/ AI/ML
Senior AI Engineer (LLM / RAG / AI/ML)
This is a highly technical, hands-on role ideal for engineers with strong software engineering foundations and experience operationalizing AI/ML capabilities.
Key ResponsibilitiesDesign, develop, and maintain AI/ML solutions supporting advanced analytics and automation effortsBuild and optimize LLM orchestration frameworks integrating multiple AI componentsDevelop systems combining RAG (Retrieval-Augmented Generation), static analysis tools, and automated testing pipelinesEngineer data pipelines to ingest, clean, transform, and vectorize structured and unstructured dataFine-tune and optimize Large Language Models (LLMs) for specialized use casesDesign and implement database solutions supporting vector search, metadata, and artifact storageSupport development of tools for vulnerability identification and mitigation using AI/ML techniquesDeploy and manage AI solutions within secure, containerized, and networked environmentsConduct performance tuning, scalability analysis, and system optimizationSupport security assessments and ATO processes for deployed AI systemsCollaborate with cross-functional teams in an Agile development environment Required Qualifications Active TS/SCI with Full Scope Polygraph Bachelor's degree and 8+ years of relevant experience (or equivalent) Strong proficiency in Python development Hands-on experience with AI/ML systems and LLM integration Experience building or working with RAG architectures and data pipelines Experience with data preprocessing, transformation, and vectorization techniques Knowledge of relational and vector databases Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with Agile methodologies and tools (Git, Jira, Confluence) Strong software engineering fundamentals and experience delivering production systems Preferred Qualifications Experience with static code analyzers and automated testing pipelines Familiarity with modern LLM tools and platforms (e.g., Claude, Codex or similar) Experience with CI/CD pipelines and DevOps practices Exposure to Rust or other systems-level programming languages Experience building AI solutions in high-security or controlled environments Knowledge of advanced AI-driven cybersecurity or vulnerability detection techniques Education Bachelor's degree in Computer Science, Engineering, or related field Equivalent experience may be considered Why This Role Work on next-generation AI/ML and LLM-driven systems Direct impact on advanced analytics and security-focused AI capabilities Highly technical environment with ownership of end-to-end AI solutions Long-term, stable onsite opportunity in the Fort Meade market...Visit the Employer site for more details
Location:
Fort Meade, MD (Onsite)Clearance:
TS/SCI with Full Scope Polygraph Now!orContact Recruiter:
Brenton AndersonEmail:
banderson3kforceLinkedIn:
linkedin/in/myitrecruiterbrenton/We are seeking a Senior AI Engineer to support advanced AI and emerging technology initiatives, focusing on building and deploying cutting-edge AI/ML solutions. This role emphasizes Large Language Models (LLMs), data engineering, and scalable AI architectures in a secure, mission-driven environment.This is a highly technical, hands-on role ideal for engineers with strong software engineering foundations and experience operationalizing AI/ML capabilities.
Key ResponsibilitiesDesign, develop, and maintain AI/ML solutions supporting advanced analytics and automation effortsBuild and optimize LLM orchestration frameworks integrating multiple AI componentsDevelop systems combining RAG (Retrieval-Augmented Generation), static analysis tools, and automated testing pipelinesEngineer data pipelines to ingest, clean, transform, and vectorize structured and unstructured dataFine-tune and optimize Large Language Models (LLMs) for specialized use casesDesign and implement database solutions supporting vector search, metadata, and artifact storageSupport development of tools for vulnerability identification and mitigation using AI/ML techniquesDeploy and manage AI solutions within secure, containerized, and networked environmentsConduct performance tuning, scalability analysis, and system optimizationSupport security assessments and ATO processes for deployed AI systemsCollaborate with cross-functional teams in an Agile development environment Required Qualifications Active TS/SCI with Full Scope Polygraph Bachelor's degree and 8+ years of relevant experience (or equivalent) Strong proficiency in Python development Hands-on experience with AI/ML systems and LLM integration Experience building or working with RAG architectures and data pipelines Experience with data preprocessing, transformation, and vectorization techniques Knowledge of relational and vector databases Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with Agile methodologies and tools (Git, Jira, Confluence) Strong software engineering fundamentals and experience delivering production systems Preferred Qualifications Experience with static code analyzers and automated testing pipelines Familiarity with modern LLM tools and platforms (e.g., Claude, Codex or similar) Experience with CI/CD pipelines and DevOps practices Exposure to Rust or other systems-level programming languages Experience building AI solutions in high-security or controlled environments Knowledge of advanced AI-driven cybersecurity or vulnerability detection techniques Education Bachelor's degree in Computer Science, Engineering, or related field Equivalent experience may be considered Why This Role Work on next-generation AI/ML and LLM-driven systems Direct impact on advanced analytics and security-focused AI capabilities Highly technical environment with ownership of end-to-end AI solutions Long-term, stable onsite opportunity in the Fort Meade market...Visit the Employer site for more details