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Requirement Name / Title : Gen AI/Agentic AI Engineer No of Positions -10 Experience - 8+Yrs Work Location - BLR, Chennai, Pune Mandatory Skills Preferred Skills Python, AIML, LLM, RAG, Agentic AI, Azure Docker, Kubernetes Job Description / Roles & Responsibilities (in Detail) Job Title: Gen AI/Agentic AI Engineer Introduction: We are seeking a highly skilled and experienced Gen AI/Agentic candidate will have a strong background in agent development using Python,experience in vector databases, and applied AI using large language models RAG, and other Generative AI applications. This role requires a blend of advance structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust agentic systems integrating advanced AI and ML capabilities. Develop agents using the agentic frameworks in python. Experience in langgraph or autogen is mandatory Implement and optimize LangChain for efficient language model chaining and application. Experience in MCP and A2A is required Develop and deploy solutions based on Agent, LLMs, RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define transparent specifications, deliverables, and timelines. Get the overall solution deployed in customer network and provide support Requirement Name / Title : Gen AI/Agentic AI Engineer No of Positions -10 Experience - 8+Yrs Work Location - BLR, Chennai, Pune Mandatory Skills Preferred Skills Python, AIML, LLM, RAG, Agentic AI, Azure Docker, Kubernetes Job Description / Roles & Responsibilities (in Detail) Job Title: Gen AI/Agentic AI Engineer Introduction: We are seeking a highly skilled and experienced Gen AI/Agentic candidate will have a strong background in agent development using Python,experience in vector databases, and applied AI using large language models RAG, and other Generative AI applications. This role requires a blend of advance structures, and coding, coupled with a passion for AI-driven innovation. Key Responsibilities: Design, develop, and maintain robust agentic systems integrating advanced AI and ML capabilities. Develop agents using the agentic frameworks in python. Experience in langgraph or autogen is mandatory Implement and optimize LangChain for efficient language model chaining and application. Experience in MCP and A2A is required Develop and deploy solutions based on Agent, LLMs, RAG to solve complex problems and improve user interactions. Collaborate with cross-functional teams to define transparent specifications, deliverables, and timelines. Get the overall solution deployed in customer network and provide support
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