Note: The job is a remote job and is open to candidates in USA. 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 an AI/Machine Learning Engineer to develop Agentic AI systems for automating health benefits determinations, 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
Skills
- 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
Benefits
- Paid vacation & Sick leave
- Health insurance coverage
- Career training
- Performance bonus programs
- 401K contribution & Employer Match
- 11 Federal Holidays
Company Overview