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 effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers’ bespoke mission requirements, are enabling this future every day.
The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent 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.
We are seeking to hire a AI/Machine Learning Engineer to our team!
Role Overview:
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.
Duties and 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 & Work Experience:
- Professional Experience: 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.
- Agentic Frameworks: Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows.
- Core Development: Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, 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.
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.
Education:
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.
Clearance:
Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance.
If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:
Paid vacation & Sick leave
Health insurance coverage
Career training
Performance bonus programs
401K contribution & Employer Match
- 11 Federal Holidays
Top Skills
What We Do
At Cybermedia Technologies, we’re driven by a relentless desire to meet our clients’ toughest challenges. We are industry veterans with a proven track record of tackling the biggest problems facing 21st Century organizations. Whether you’re seeking to manage your workforce more effectively, update your enterprise infrastructure, or ensure the security of your systems, you can count on Cybermedia Technologies to bring the best solutions to the table, each and every time.
Cybermedia Technologies, Inc. is a Woman Owned Small Business (WOSB) company headquartered in Reston, Virginia, with a stellar reputation throughout the Washington Metropolitan Area.
Founded in 1996, Cybermedia Technologies, Inc. exists to help our customers achieve the maximum return on their IT and human capital investments. We specialize in:
• Human Capital & Training Solutions
• Digital Transformation - Enterprise Applications Optimization, Infrastructure & Cloud Migration/Modernization
• Cybersecurity and Software Development
Our veteran team of designers, consultants, artists, and managers is dedicated to adding value to our organization's human capital, developing training, enterprise infrastructure, and cybersecurity solutions that exceed client expectations.
With a keen insight into the issues faced in the current economy, CTEC offers custom, well-crafted, and common-sense solutions to help our clients meet their strategic goals.
Call us on 703-766-5774
