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About the role
1 Design and develop agentic AI systems using frameworks such as AutoGen, LangGraph, or similar agent orchestration frameworks 2 Build and integrate MCP (Model Context Protocol) servers and tools to enable structured tool usage and context sharing across AI models 3 Develop robust backend services and AI pipelines using Python. Containerize and deploy applications using Docker, ensuring consistency across development and production settings 4 Work with Linux-based systems for development, deployment, monitoring, and troubleshooting. Collaborate with cross-functional teams to integrate AI solutions into existing platforms 5 Maintain documentation, code quality, and best practices for AI and platform development Preferred - Nice-to-Have Skills Experience with cloud platforms (AWS, Azure, or GCP) Skills - Autogen, LangGraph, or similar agent orchestration frameworks, MCP , LLM observability tools (eg, Langfuse, LangSmith), vector databases, RAG pipelines or agent-based retrieval systems Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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