AI/ML Engineer: Agentic AI & LLM Systems

AIToolboard; McLean (VA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Paid vacation

Health insurance

Career training

401K contribution & Employer Match

Job summary

CTEC in McLean, VA is seeking an AI/ML Engineer to develop agentic AI systems for health benefits determinations for OPM. You will design autonomous AI agents with multi-step reasoning, integrate deterministic business rules, and ensure auditability and compliance.

Requirements include 5+ years in ML/DS, 2+ years with LLM orchestration, proficiency with LangChain/LangGraph/CrewAI/Semantic Kernel, strong Python and ML frameworks, SQL/Spark, and U.S.

Qualifications

• 5+ years in Machine Learning or Data Science
• 2+ years of hands-on experience with LLM orchestration and Generative AI frameworks
• Proficiency with Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn)
• Strong SQL skills and distributed data processing (Spark/PySpark)
• Experience building multi-step agent workflows using LangChain/LangGraph/CrewAI/Semantic Kernel

Responsibilities

• Design and deploy autonomous AI agents with multi-step reasoning and tool use
• Develop deterministic logic layers that align LLM outputs with business rules
• Implement Retrieval-Augmented Generation (RAG) and layout-aware parsing
• Collaborate with architects and stakeholders to translate health policies into executable AI logic
• Focus on MLOps, observability, and auditability of AI-driven determinations

Skills

LLM orchestration

Python

ML frameworks

Agentic frameworks

SQL/Spark

Debug non-deterministic systems

Education

Bachelor's degree in CS/DS/Engineering

Master's degree preferred

Tools

LangChain

LangGraph

CrewAI

Semantic Kernel

Azure ML

Job description

CTEC in McLean, VA is seeking an AI/ML Engineer to develop agentic AI systems for health benefits determinations for OPM. You will design autonomous AI agents with multi-step reasoning, integrate deterministic business rules, and ensure auditability and compliance.

Requirements include 5+ years in ML/DS, 2+ years with LLM orchestration, proficiency with LangChain/LangGraph/CrewAI/Semantic Kernel, strong Python and ML frameworks, SQL/Spark, and U.S.