AI​/Machine Learning Engineer

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission‑critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do affects millions of U.S. citizens daily as they interact with the systems we build.

The company has experienced rapid growth over the past three years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national‑security focused agencies within the Department of Defense and U.S. Intelligence Community.

As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional “black‑box” models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule‑driven patterns to ensure accuracy, auditability, and compliance in complex decision‑making workflows.

• Agentic System Architecture:
  Design and deploy autonomous AI agents capable of multi‑step reasoning, tool‑use, and self‑correction to navigate complex federal benefit policies.
• Deterministic Logic Integration:
  Develop “Guardrail” layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks.
• RAG & Knowledge Engineering:
  Implement advanced Retrieval‑Augmented Generation (RAG) solutions, utilizing layout‑aware parsing to extract information from dense manuals/documentation and unstructured data.
• Hybrid Model Development:
  Design and evaluate machine learning models that support both data‑driven predictions and symbolic/rule‑based automation.
• MLOps & Agent Monitoring:
  Deploy models into cloud environments with a focus on LLM‑specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic).
• Auditability & Explainability:
  Ensure every AI‑driven determination has a clear, human‑readable “audit trail” or reasoning chain that justifies the outcome based on source documentation.
• Collaboration:
  
  Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic.

• Professional
  
  Experience:
  
  5+ years in Machine Learning or Data Science, with at least 2 years of hands‑on experience with LLM orchestration and Generative AI frameworks.
• Agentic Frameworks:
  Proficiency with tools such as Lang Chain, Lang Graph, CrewAI, or Semantic Kernel for building multi‑step agent workflows.
• Core Development:
  Strong proficiency in Python and experience with standard frameworks (PyTorch, Tensor Flow, or Scikit‑learn).
• Data Engineering:
  Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large‑scale enterprise data.
• Analytical Rigor:
  Ability to debug non‑deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM‑as‑a‑judge) data platforms.

• Experience with Azure Machine Learning, Azure AI services, or similar cloud AI platforms.
• Experience implementing Generative AI, LLM, or RAG‑based solutions.
• Experience supporting federal IT modernization or data transformation programs.
• Familiarity with healthcare, insurance, or benefits administration data environments.
• Experience applying data governance, privacy, and security best practices in AI/ML solutions.

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline. Master’s degree preferred. Equivalent professional experience will be considered in lieu of a degree.

Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance.

• Paid vacation & Sick leave
• Health insurance coverage
• Performance bonus programs
• 401K contribution & Employer Match

As set forth in Cyber Media Technologies’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. We are a federal contractor and must provide equal employment opportunity to qualified people with disabilities. The law requires us to measure our progress toward a goal of having at least 7% of our workers as people with disabilities.