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AI Platform Engineer - LangChain/Generative AI

INDARA TECHNOLOGIES PRIVATE LIMITED
4 - 7 Years
rupee40-50 LPA
Mumbai

Posted on: 17/07/2026

Job Description

AI Platform Engineer (Generative AI, LLM, AI Agents) :

Location : Mumbai (Hybrid)

Experience : 4 to 6 Years

Employment Type : Full-time

Compensation :

We're looking for a passionate AI Platform Engineer to build production-grade AI applications powered by Large Language Models (LLMs).


You'll work on AI Agents, Retrieval-Augmented Generation (RAG), enterprise copilots, intelligent automation, and scalable AI platforms used by real customers.

If you're excited about building the next generation of AI products using cutting-edge technologies, we'd love to hear from you.

What You'll Do :

- Design, develop, and deploy AI applications using Large Language Models (LLMs)

- Build AI Agents and autonomous AI workflows

- Develop and optimize RAG pipelines using vector databases

- Integrate AI models with enterprise systems through APIs and microservices

- Implement prompt engineering, evaluation, and AI safety guardrails

- Deploy scalable AI services on AWS, Azure, or GCP

- Improve model accuracy, latency, scalability, and cost efficiency

- Collaborate with product, engineering, and data teams to deliver innovative AI solutions.

Required Skills :

- Python

- Generative AI & Large Language Models (LLMs)

- OpenAI, Azure OpenAI, Anthropic Claude, Gemini

- LangChain, LangGraph, LlamaIndex

- AI Agents & Agentic AI

- RAG (Retrieval-Augmented Generation)

- Vector Databases (Pinecone, ChromaDB, FAISS, Milvus)

- FastAPI / Flask

- REST APIs

- Docker, Git, CI/CD

- AWS, Azure, or GCP

Good to Have :

- CrewAI, AutoGen

- Kubernetes

- LLMOps / MLOps

- Speech AI

- React, Next.js, or Streamlit

- SQL / NoSQL

- Enterprise AI platform experience

Why Join Us ?

- Build cutting-edge AI products with real business impact

- Work with the latest LLMs, AI Agents, and GenAI technologies

- Hybrid work environment with a collaborative engineering culture

- High ownership, rapid career growth, and continuous learning

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