Gen AI Developer - Coimbatore (Tamil Nadu)

LTM Coimbatore location Job Description We are seeking a highly skilled AI Developer with robust Python expertise and practical experience developing Agentic AI applications using frameworks such as LangChain LangGraph CrewAI and AutoGen The ideal candidate will build deploy and package multiagent LLM applications that interact with enterprise systems and external APIs Roles and Responsibilities - Build LLMbased applications using LangChain LangGraph CrewAI or AutoGen - Design intelligent agents tools memory systems and RAG pipelines - Integrate LLMs with enterprise systems through REST APIs connectors and plugins - Use Docker to package and deploy AI agents as microservices - Implement prompt routing context handling and agent state management - Collaborate with DevOps teams to deploy applications in cloudonprem environments - Agent Development Design build test and deploy all 16 GitHub Copilot Agent extensions across Splunk Dynatrace Midrange MRD and ServiceNow domains following agent extension patterns defined by the Tech Lead - MCP Server Integrations Implement and maintain MCP server integrations for all target platforms Splunk SHC KVStore Diag Dynatrace APIs OneAgent ServiceNow CRINCSR MRD call flow process workflow and Active Directory - Prompt Engineering Guardrails Write multiturn prompt chains structured tool definitions and guardrail logic intent classification blastradius limits approval gates for each agent tune agent reasoning for domainspecific accuracy Mandatory Skills - MCP Protocol REST API Integration Proficiency in implementing Model Context Protocol MCP servers experience integrating agents with enterprise REST APIs Splunk Dynatrace ServiceNow Ansible. - Python Advanced Testing Practices Advanced Python skills including async patterns SDK usage unitintegration testing pytest and secure coding practices for agent tool implementations4 Python 6 development skills - Experience with LangChain LangGraph CrewAI AutoGen LLM integration with OpenAI Azure OpenAI HuggingFace etc - RetrievalAugmented Generation RAG architecture and vector DBs - REST API integration and async programming in Python - Docker packaging and containerization of AI services - Git JSONYAML handling Linux shell proficiency .