Cybermedia Technologies, LLC (CTEC) · 6 hours ago
AI / Machine Learning Engineer
United States
Full-time
Remote
Senior Level
5+ years expCTEC is a leading technology firm providing modernization and digital transformation services to the U.S. Federal Government. They are seeking an AI/Machine Learning Engineer to develop systems that automate health benefits determinations, ensuring compliance and accuracy in decision-making workflows.
ConsultingInformation Technology
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Qualification
Required
5–8+ 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
Preferred
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
Benefits
Paid vacation & Sick leave
Health insurance coverage
Career training
Performance bonus programs
401K contribution & Employer Match
11 Federal Holidays
Company
Cybermedia Technologies, LLC (CTEC)
We modernize legacy infrastructure, secure mission-critical systems and design digital experiences that impact millions of federal workers & American citizens every day.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$44MKey Investors
Main Street Capital
2023-05-17Private Equity· $44M
2023-05-17Debt Financing
Company data provided by crunchbase