Apply on Kit Job: kitjob.in/job/44izrx

Role: Generative AI Engineer | 4–6 Years

Locations: Chennai | Bangalore | Hyderabad | Pune

Role Overview

We are looking for a Generative AI Engineer to build, optimize, and scale production-ready AI applications. This role involves designing multi-agent systems , implementing advanced RAG pipelines , and deploying both frontier and local LLMs .

If you enjoy working at the intersection of AI + backend engineering , this is a outstanding opportunity.

Tech Stack

LLMs: Gemini, OpenAI, Claude, Llama, Local Models

Frameworks: LangChain, LlamaIndex, Hugging Face

Orchestration: LangGraph, Multi-Agent Systems (MAS)

Backend: Python, FastAPI, Async Programming

RAG & Data: PostgreSQL, Vector Databases, Advanced Retrieval

ML/DL: PyTorch, TensorFlow, Fine-tuning

Deployment: Docker, API Management, Monitoring

Tools: Prompt Engineering, Workflow Design, GenAI Optimization

Key Responsibilities

- Design and orchestrate AI workflows using LangGraph & multi-agent architectures
- Build advanced RAG systems with LlamaIndex and vector databases




- Integrate multiple LLMs (OpenAI, Claude, Llama, etc.) based on use case
- Develop scalable backend services using FastAPI & Async Python
- Fine-tune LLMs for domain-specific improvements
- Optimize GenAI systems for latency, cost, and performance
- Deploy and manage AI services using Docker
- Implement monitoring, logging, and reliability practices

Required Skills

- 4–6 years of experience in software/AI development
- Hands-on experience with GenAI applications in production
- Strong Python skills with LangChain / LlamaIndex ecosystem
- Experience with vector search, embeddings, and RAG pipelines
- Knowledge of LLM fine-tuning & local model deployment
- Exposure to API security, monitoring, and CI/CD pipelines

Good to Have

- Experience with multi-agent systems (MAS)
- Knowledge of LLM optimization & cost tuning
- Exposure to real-time AI applications

Apply on Kit Job: kitjob.in/job/44izrx

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