Principal Agentic AI Engineer
Summary
Design and develop agentic AI systems using foundation models and RAG, focusing on modular components, reasoning, and integration with enterprise platforms.
- Assess foundation model and agentic system approaches
- Build Retrieval Augmented Generation systems
- Build modular, reusable components
- Create memory and state management components
- Design agentic AI solutions
- Develop human-in-the-loop workflows
- Develop large language model based agents
- Evaluate model prompts and retrieval strategies
- Implement error handling traceability and safeguards
- Implement reasoning and planning
- Integrate agent workflows with enterprise platforms
- Integrate tool use and workflow orchestration
- Optimize prompt and context engineering
- Prototype Agentic AI applications
- Run structured testing and user feedback loops