AI Engineer

• Architect, implement, and maintain scalable backend services and APIs using Python (FastAPI, Flask, Django) to support AI agent operations.
• Develop, deploy, and orchestrate autonomous AI agents, and leverage MCP to coordinate multiple AI models and agent workflows, ensuring seamless interoperability and orchestration.
• Utilize frameworks like LangGraph and MCP to design, compose, and manage complex agent workflows, multi-agent coordination, and state management.
• Integrate external data sources, third-party APIs, vector databases, and machine learning models to enhance agent capabilities.
• Optimize system performance, ensure high availability, and implement robust logging, monitoring, and error-handling solutions.
• Work cross-functionally with front-end developers, data scientists, and product teams to translate requirements into technical designs and deliverables.
• Implement best practices for data security, privacy, and compliance in all backend operations.

Principal Full-Stack AI Engineer

Principal Full-Stack AI Engineer