Agentic AI Engineer

**Job Title:** Sr. AI Engineer **Location:** Bengaluru/Hyderabad/Pune/Chennai/Kolkata **Role Summary** We are seeking an experienced AI professional to design, develop, and deploy enterprise-grade Agentic AI solutions powered by LLMs. The ideal candidate will have strong expertise in prompt engineering, agent orchestration frameworks, multi-agent architectures, memory and state management, RAG systems, and production deployment on cloud platforms. **Key Responsibilities** • Design and build LLM-powered agentic systems capable of planning, reasoning, tool usage, and multi-step workflow execution. • Develop orchestration pipelines using LangGraph, LangChain, or Semantic Kernel. • Implement agentic patterns including Planner-Executor, ReAct, Supervisor-Worker, and Multi-Agent Collaboration. • Create and maintain reusable Agentic Skills, tool integrations, memory systems, checkpoints, and task-tracking mechanisms. • Lead prompt engineering efforts including system prompts, tool/function calling, structured outputs, guardrails, and instruction tuning. • Integrate APIs, enterprise services, search systems, and external tools into agent workflows. • Implement automated testing, evaluation frameworks, observability, tracing, monitoring, and cost optimization. • Ensure enterprise-grade security through prompt injection protection, RBAC, sandboxing, audit logging, and input/output validation. • Translate business requirements into technical designs, HLDs, LLDs, and scalable AI architectures. • Drive innovation by researching and implementing emerging Agentic AI techniques and best practices. **Required Skills** • Strong hands-on experience with Prompt Engineering and Agentic AI development. • Expertise in LangGraph, LangChain, Semantic Kernel, or similar orchestration frameworks. • Experience with context engineering, memory management, state management, checkpoints, scratchpads, and task orchestration. • Proficiency in Python (preferred) or TypeScript/JavaScript. • Experience with RAG, hybrid retrieval, reranking, chunking, and vector databases (Pinecone, FAISS, Azure AI Search, etc.). • Knowledge of GitHub, DevOps, CI/CD, enterprise code management, and cloud platforms (Azure, AWS, or GCP). • Experience building user-facing AI applications (chatbots, voice assistants, workflow automation). • Strong analytical, problem-solving, communication, and stakeholder management skills. **Preferred** • Experience with OpenAI Agent Skills, Claude Skills, or similar agent skill frameworks. • Experience with LLM evaluation frameworks, agent testing methodologies, and production-scale AI deployments. • Understanding of secure tool execution, cloud computing technologies, and modern AI trends.