Found Description
Responsibilities
- Design and build a reusable multi-agent AI system that can support multiple projects and use cases
- Define agent roles, responsibilities, and interaction patterns, including planning, coordination, and handoff
- Implement agent orchestration using frameworks such as: LangChain, LangGraph, CrewAI
- Integrate both self-hosted LLM models and commercial LLM services
- Develop backend services in Python, including
- Agent orchestration and execution logic
- Tool integration and external API access
- Backend APIs for frontend consumption
- Develop and maintain frontend components using React.js, including
- User interfaces for interacting with AI agents
- Visualization of agent outputs and intermediate results
- Human-in-the-loop workflows such as review, approval, and override
- Implement agent evaluation and monitoring mechanis...