Job Description

P1,C3,STS Experience 3 to 5 Years of experience in -Design, develop, and deploy GenAI/Agentic AI applications leveraging frameworks such as LangChain, ChromaDB, OpenAI, PyTorch, Streamlit, and other emerging agentic frameworks. Implement multi-agent systems, orchestration flows, and autonomous task execution using MCP and A2A frameworks. Perform gap analysis, optimization, and troubleshooting of AI-driven workflows and pipelines. Build modular, reusable, and scalable AI components integrated into enterprise ecosystems. Collaborate with product, data, and engineering teams to deliver end-to-end GenAI solutions. Technical Skills Secondary Focus: Site Reliability Engineering (SRE) Provide L2 Support with exposure to Splunk, DataDog, AEM Analytics, AppDynamics, and conduct error/alert log analysis. Support UI/Infrastructure reliability, monitoring, and incident resolution. Ensure reliability and performance of AI-powered applications on AWS cloud platforms. Required Skills & Experience Proven experience in GenAI/Agentic AI development with a strong grasp of autonomous agents, orchestration, and reasoning frameworks. Awareness and hands-on exposure to MCP (Model Context Protocol) and A2A (Agent-to-Agent) frameworks. Strong Python proficiency and expertise with AI/ML frameworks (PyTorch, LangChain, OpenAI APIs, etc.). Hands-on experience with AWS, especially AWS OpenAI and Cognitive Services. Familiarity with CI/CD pipelines, modular software design, and testing best practices. SRE experience in error log analysis, monitoring, and cloud reliability practices