A.I. Engineer (LLM/ RAG/ AI/ML

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., Design, develop, and maintain AI/ML solutions supporting advanced analytics and automation efforts Build and optimize LLM orchestration frameworks integrating multiple AI components Develop systems combining RAG (Retrieval-Augmented Generation), static analysis tools, and automated testing pipelines Engineer data pipelines to ingest, clean, transform, and vectorize structured and unstructured data Fine-tune and optimize Large Language Models (LLMs) for specialized use cases Design and implement database solutions supporting vector search, metadata, and artifact storage Support development of tools for vulnerability identification and mitigation using AI/ML techniques Deploy and manage AI solutions within secure, containerized, and networked environments Conduct performance tuning, scalability analysis, and system optimization Support security assessments and ATO processes for deployed AI systems Collaborate with cross-functional teams in an Agile development environment

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, 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