We are looking for an AI Engineer specializing in Agentic AI systems and cloud-native deployment. This role focuses on building intelligent, autonomous systems using LLMs, RAG architectures, and emerging protocols like MCP, with an emphasis on scalable, production-ready implementations.

Experience: 5 years - Minimum 5 years of experience is required.

Location: Hybrid - Bengaluru/ Hyderabad/ Pune/ Gurugram

Shift Timings: 12 PM - 9 PM IST

Looking for immediate joiners only

Key Responsibilities
Design and build Agentic AI systems capable of planning, reasoning, and tool usage
Develop and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use cases
Implement and integrate Model Context Protocol (MCP) or similar frameworks for tool orchestration
Build multi-agent workflows and autonomous decision-making systems
Deploy AI applications on cloud platforms (AWS, Azure, GCP) with scalability and reliability
Develop APIs and services to integrate LLM-powered features into products




Work with vector databases and retrieval systems for efficient knowledge access
Optimize latency, cost, and performance of LLM-based applications
Implement observability, monitoring, and evaluation frameworks for AI systems
Collaborate with product and engineering teams to deliver production-grade AI solutions

Required Skills & Qualifications
5+ years of experience in software engineering or AI engineering roles
Solid proficiency in Python and up-to-date backend frameworks (FastAPI, Flask, etc.)
Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or similar
Solid understanding of RAG architectures, embeddings, chunking, and retrieval strategies
Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.)
Experience building agentic workflows (tool use, memory, planning, orchestration)
Familiarity with MCP (Model Context Protocol) or similar tool-interaction paradigms
Experience deploying AI applications on cl

📌 Agentic Ai Engineer Hyderabad
🏢 Epitria Consulting
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