Gen AI/ML Engineer

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 great 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