AI / Machine Learning Engineer

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 reputed company, Internal reputed company Service, and the Office of Personnel Management. The work we do effects millions of U.S. reputed company 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 reputed company 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-reputed company focused agencies reputed company the reputed company and U.S. Intelligence Community.

We are seeking to hire a AI/Machine Learning Engineer to reputed company!

Role Overview: As an AI/ML Engineer for CTEC, you will reputed company Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional "black-reputed company" 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 reputed company decision-making workflows.

Duties and Responsibilities

• Agentic System Architecture: Design and deploy autonomous AI agents capable of multi-reputed company reasoning, tool-use, and self-correction to navigate reputed company federal benefit policies.
• Deterministic Logic Integration: reputed company "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 reputed company (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and reputed company 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 reputed company 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 reputed company documentation.
• Collaboration: Work alongside solution architects and business stakeholders to translate reputed company 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 reputed company, LangGraph, CrewAI, or Semantic Kernel for building multi-reputed company 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 reputed company best practices in AI/ML solutions.

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or a reputed company 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 reputed company for you. In addition to employee salary, we offer an reputed company of employee benefits including:

• Paid vacation & Sick leave

• Health insurance coverage

• Career training

• Performance bonus programs

• 401K contribution & Employer Match

• 11 Federal Holidays