Transforming the federal government with AI by building agentic systems, fine-tuning models, building RL environments, and making AI a reality for clients.
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
- collaborate with product teams, data engineers, and government stakeholders to deliver world-class solutions to build agentic systems
- navigate the landscape of AI algorithms, tools, and frameworks
- define AI strategy for the intelligence community
Other
- Experience leading technical teams in the development of enterprise or government AI or ML systems
- Experience engaging with non-technical leadership teams to communicate technical content and build requirements
- Ability to map AI solutions onto customer problems
- TS/SCI clearance with a polygraph
- Ability to translate general user requirements into actionable tasks
