Agentic AI Lead – Job Description
Position Overview
We are looking for an Agentic AI Lead to design, develop, and deploy intelligent AI agents and multi-agent systems for enterprise workflows. The role requires strong hands-on experience in Generative AI, LLMs, RAG, agent orchestration, and production AI engineering.
Key Responsibilities
- Design and develop AI agents and multi-agent systems for enterprise use cases.
- Build agentic workflows using LangGraph, LangChain, and similar frameworks such as CrewAI, AutoGen, Semantic Kernel, or ADK.
- Develop AI copilots/agents for troubleshooting and incident management.
- Implement reasoning, planning, memory, tool-calling, orchestration, and human-in-the-loop capabilities.
- Design RAG pipelines using embeddings, vector databases, semantic search, and retrieval optimization.
- Integrate agents with APIs, databases, enterprise applications, and cloud services.
- Implement guardrails, evaluation, observability, and Responsible AI controls.
- Deploy and optimize production AI solutions using Docker, Kubernetes, CI/CD, and cloud platforms.
- Lead/mentor engineers and contribute to architecture and solutioning.
Mandatory Skills
- Strong hands-on experience in Agentic AI, Generative AI, LLM applications, and Multi-Agent Systems.
- Strong Python, REST API, and asynchronous programming skills.
- Hands-on LangGraph and LangChain experience.
- Strong knowledge of RAG, embeddings, semantic search, vector databases, and retrieval optimization.
- Experience with LLM orchestration, tool calling, memory, planning, and reasoning.
- Knowledge of Docker, Kubernetes, CI/CD, and cloud AI platforms.