Description
Accountabilities
- Develop, enhance, and maintain AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
- Build and extend AI-powered guided workflows and automation solutions that support diverse enterprise business functions.
- Design, develop, and optimize conversational AI systems and chat-based applications for production environments.
- Implement agent planning, orchestration, state management, memory, tool calling, and response-generation capabilities.
- Integrate AI agents and applications with enterprise platforms, backend services, external systems, and APIs.
- Support modern AI integration frameworks and agent communication patterns to enable effective collaboration between AI systems and enterprise applications.
- Implement and improve AI observability, monitoring, telemetry, and performance-tracking mechanisms to evaluate system behavior and reliability.
- Collaborate with engineering teams, product stakeholders, and other cross-functional partners to accelerate platform development and deliver business use cases.
- Troubleshoot technical issues, optimize performance, strengthen solution reliability, and drive continuous improvements across the AI platform.
- Contribute to architecture discussions, technical design decisions, engineering standards, and best practices for building scalable, maintainable AI solutions.
- Help advance the adoption of emerging AI technologies and approaches to improve platform capabilities and support evolvi
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