AI/ML Engineer applying AI/ML techniques in hardware manufacturing for yield prediction and process improvement. Collaborating on research and deployment of machine learning models.
About the role
- AI Engineer building agentic systems and applying AI models for national security initiatives. Collaborating with teams to solve client challenges with cutting-edge AI solutions.
Responsibilities
- 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
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
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