Build agentic systems
Fine tune models
Build RL environments
Apply best-fit AI models and technologies
Collaborate with product teams, data engineers, and government stakeholders
Deliver world-class solutions to build agentic systems
Help clients navigate the landscape of AI algorithms, tools, and frameworks
Solve real-world challenges and define AI strategy for the intelligence community

Requirements

Experience working with LLMs, generative AI systems, or agentic frameworks
Knowledge of AI frameworks, supporting tools, and design patterns, such as LangGraph, MCP, or A2A
Ability to map AI solutions onto customer problems
TS/SCI clearance with a polygraph
Bachelor's degree in a Technology field such as Computer Science or Statistics
Experience training generative AI systems
Experience communicating technical solutions to non-technical stakeholders
Experience deploying generative AI systems into production environments
Experience working in the Intelligence Community
Experience with a deep learning framework such as PyTorch or Keras
Knowledge of Python
Knowledge of security requirements for production code in government systems
Ability to translate general user requirements into actionable tasks
Master's degree in a Technology field preferred; Doctorate degree in a Technology field a plus
Cloud Certifications such as AWS Certified AI Practitioner Certification

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

LLMsgenerative AI systemsagentic frameworksAI frameworksLangGraphMCPA2Adeep learning frameworksPyTorchKeras

Soft Skills

collaborationcommunicationproblem-solvingtranslating user requirements

Certifications

TS/SCI clearanceAWS Certified AI Practitioner Certification