AI / Machine Learning Engineer

Cybermedia Technologies, LLC (CTEC) is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. The AI/Machine Learning Engineer will develop Agentic AI systems aimed at automating health benefits determinations for the Office of Personnel Management, focusing on integrating reasoning capabilities with deterministic patterns.

Responsibilities:

• 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

Requirements:

• 5+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks
• Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows
• Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn)
• Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data
• Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline
• Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance
• 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
• Master's degree preferred. Equivalent professional experience will be considered in lieu of a degree