Agentic AI Engineer (AQ30FT RM 3976)

Position: Agentic AI Engineer (AQ30FT RM 3976) F2F Drive Date: 28th February 2026 at Kolkata Role Overview — We are looking for an Agentic AI Engineer to build intelligent, autonomous agents using modern LLM frameworks and retrieval systems to automate complex business workflows. Key Responsibilities • Design and develop LLM-based agentic workflows for end-to-end automation • Implement and manage RAG (Retrieval-Augmented Generation) pipelines with agent-based decision making • Build multi-step workflows using LangChain and LangGraph • Develop robust prompt engineering strategies for accuracy and consistency • Handle context management for long-running and multi-turn conversations • Integrate LLM solutions with backend services and data sources • Collaborate with product and engineering teams to deliver scalable AI features Mandatory Skills • 3–4 years of Python development experience • Hands-on experience with LangChain • Practical exposure to LangGraph or agent-based workflow orchestration • Strong understanding of Prompt Engineering • Experience with Context Management in LLM applications • Knowledge of Agentic RAG architectures • Basic understanding of APIs, databases, and backend integration Good To Have • Experience with product-based AI platforms • Familiarity with vector databases (FAISS, Pinecone, Chroma, etc.) • Exposure to cloud environments (AWS / GCP / Azure) • Understanding of AI model limitations, evaluation, and monitoring •