Transforming the federal government with AI by building agentic systems, fine-tuning models, and building RL environments to solve real-world challenges and define AI strategy for the intelligence community.
Requirements
- Experience working with LLMs or generative AI systems
- Knowledge of AI frameworks, supporting tools, and design patterns such as LangGraph, MCP, or A2A
- Knowledge of a scripting language
- Experience training generative AI systems
- Experience deploying generative AI systems into production environments
- Experience with a deep learning framework such as PyTorch or Keras
- Knowledge of Python
Responsibilities
- build agentic systems
- fine tune models
- build RL environments
- applying best-fit AI models and technologies
- build agentic systems
- navigate the landscape of AI algorithms, tools, and frameworks
- training generative AI systems
Other
- 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 communicating technical solutions to non-technical stakeholders
- Ability to translate general user requirements into actionable tasks
