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. They are seeking to hire an AI/Machine Learning Engineer to develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). The role involves designing AI agents, integrating deterministic logic, and ensuring auditability in complex decision-making workflows.

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