Apply on Kit Job: kitjob.in/job/453aem

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 excellent chance.

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
Solid 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/453aem

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