Position Gen AI Copilot Developer Exp 3 to 8 Years GenAI Agentic AI Copilot Developer with experience in building and deploying AI copilots agentic AI solutions and LLM-powered applications The ideal candidate will have hands-on experience with OpenAI Azure OpenAI LLM orchestration frameworks e g LangChain Semantic Kernel prompt engineering and tool function calling The role involves designing intelligent multi-step agents that integrate with enterprise data and services to drive automation reasoning and decision-making Experience with Microsoft Copilot extensibility and M365 integration is highly preferred 1 Foundations of Generative AI a Understanding of LLMs GPT Claude LLaMA etc b Differences between generative AI vs traditional ML c Prompt engineering Zero-shot few-shot chain-of-thought and retrieval-augmented generation RAG d Model capabilities limitations and hallucination handling 2 Agentic AI Concepts a What is an AI Agent How does it differ from a copilot b Multi-step reasoning task planning and goal decomposition c Memory context management and tool usage d Knowledge grounding and external action execution e Use of frameworks like LangChain Semantic Kernel or CrewAI 3 Copilot Development Microsoft Ecosystem a Copilot extensibility in Microsoft 365 e g Word Excel Outlook b Copilot Studio building custom copilots integrating plugins c Graph connectors and Microsoft Graph API usage d Use of Power Platform Power Automate Power Apps in AI-powered solutions 4 LLM Orchestration Integration a LangChain Semantic Kernel chains agents memory tools b Tool function calling e g OpenAI tool use plugins c Vector database integration Pinecone FAISS Azure AI Search d Data grounding RAG pipelines 5 Security Privacy Governance e Handling PII and enterprise data securely in GenAI solutions f Prompt injection model output filtering and misuse prevention g Monitoring and observability of AI agent behavior 6 Architecture and Deployment a Building scalable GenAI-powered APIs and microservices b Deploying to Azure AWS or hybrid environments c Using containerization and API gateways for modular agent-based services 7 Use Case Design and Real-World Scenarios a Walkthrough of past GenAI or agent projects internal or POCs b Business-centric use cases HR assistant policy copilot knowledge bot workflow automation c Measuring success accuracy user feedback adoption 8 Soft Skills Collaboration a Collaborating with business teams to translate requirements b Balancing innovation and feasibility c Communicating AI limitations clearly to stakeholders

📌 Copilot Gen Ai (Tamil Nadu)
🏢 Cognizant Technology Solutions
📍 Tamil Nadu