Agentic AI Engineer

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 usageDevelop and optimize RAG (Retrieval-Augmented Generation) pipelines for enterprise use casesImplement and integrate Model Context Protocol (MCP) or similar frameworks for tool orchestrationBuild multi-agent workflows and autonomous decision-making systemsDeploy AI applications on cloud platforms (AWS, Azure, GCP) with scalability and reliabilityDevelop APIs and services to integrate LLM-powered features into productsWork with vector databases and retrieval systems for efficient knowledge accessOptimize latency, cost, and performance of LLM-based applicationsImplement observability, monitoring, and evaluation frameworks for AI systemsCollaborate with product and engineering teams to deliver production-grade AI solutions

Required Skills & Qualifications

5+ years of experience in software engineering or AI engineering rolesStrong proficiency in Python and modern backend frameworks (FastAPI, Flask, etc.)Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or similarStrong understanding of RAG architectures, embeddings, chunking, and retrieval strategiesExperience 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 paradigmsExperience deploying AI applications on cloud platforms (AWS/Azure/GCP)Strong knowledge of Docker, Kubernetes, and microservices architectureExperience designing and consuming REST APIs / async systems

Preferred Qualifications

Experience with multi-agent systems and orchestration frameworksFamiliarity with prompt engineering, evaluation, and guardrailsKnowledge of LLM observability tools (LangSmith, Weights & Biases, etc.)Experience with streaming architectures and real-time AI systemsExposure to security and governance in AI systemsUnderstanding of cost optimization strategies for LLM usage

Soft Skills

Strong problem-solving and system design skillsAbility to work in fast-evolving AI landscapesGood communication and cross-functional collaboration .