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About the role
Position : Lead AI Engineer , Hyderabad Last Working Day (Mandatory) Responsibilities Design and implement scalable AI agents, agentic workflows, and multi-agent systems with planning, reasoning, and memory. Build enterprise-grade RAG pipelines including embeddings, vector databases, semantic/hybrid search, and reranking strategies. Develop reusable connectors, plugins, and tool integrations for Microsoft 365, Outlook, Teams, SharePoint, Jira, Git, Slack, and databases. Engineer solutions using cloud, private, and open-source LLMs, applying prompt engineering, function calling, and tool orchestration. Implement AI security and governance practices including prompt injection defense, RBAC, audit logging, and compliance. Establish observability and monitoring frameworks to evaluate AI model performance, reliability, and auditability. Lead proof-of-concepts, guide technology selection, and mentor junior engineers to ensure production-ready AI delivery. Required skills Programming : Python, FastAPI, REST APIs, Async Programming, OOP, Git, Unit Testing. AI/LLM : Generative AI, LLMs, Prompt Engineering, Function Calling, Tool Calling. RAG : Embeddings, Vector Databases, Semantic/Hybrid Search, Reranking, Document Processing. Agents : AI Agents, Agentic Workflows, Planning, Reasoning, Memory, Tool Execution. Frameworks : LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI. LLMs : OpenAI, Azure OpenAI, Anthropic, Gemini, Open-Source LLMs.