Exp - 4 to 6 Years

Skills Required

Primary Skills

Python FastAPIFlask LangChainLlamaIndex AWSAzureGCP DockerKubernetes

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.

Tech Stack

Python

FastAPI, Flask

LangChain, LlamaIndex

AWS, Azure, GCP

Docker, Kubernetes

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

Strong proficiency in Python and up-to-date backend frameworks (FastAPI, Flask, etc.)

Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or similar

Strong 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 cloud platforms (AWS/Azure/GCP)

Strong knowledge of Docker, Kubernetes, and microservices architecture

Experience designing and consuming REST APIs / async systems

📌 Agentic AI Engineer (India)
🏢 Sparix Global
📍 India