Generative AI Engineer (Mid-Level, 3+ Years Experience)

r3 Consultant; Coimbatore District; On-site; INR 1,350,000 - 1,650,000; Full time

Job summary

A consulting firm is looking for a mid-level Generative AI Engineer in Tamil Nadu. The ideal candidate should have 3+ years of hands-on experience with deep learning and generative AI models, a strong foundation in neural network architectures, and familiarity with MLOps and cloud services. Responsibilities include building, evaluating, and deploying AI models, alongside debugging and prompt engineering tasks. Knowledge of tools like TensorFlow, PyTorch, and Docker is essential for this role.

Qualifications

• 3+ years of hands-on experience in building and evaluating AI models.
• Strong understanding of cloud AI services.
• Experience with model deployment and scripting.

Responsibilities

• Build, evaluate, and deploy deep learning and generative AI models.
• Independently manage end-to-end model development.
• Debugging and prompt engineering tasks.

Skills

Neural network architectures

Model debugging

Prompt engineering

MLOps principles

Docker

Git

Tools

TensorFlow

PyTorch

AWS Sagemaker

Kubernetes

Job description

Overview

Position: Generative AI Engineer

Experience: 3+ years

Budget: Up to 15 LPA

Location: On-site – Bengaluru, Coimbatore

Requirements

• Strong understanding of neural network architectures (CNN, RNN, Transformers)
• Experience with fine-tuning concepts and awareness of Retrieval-Augmented Generation (RAG) and vector databases
• Familiarity with MLOps principles, CI/CD concepts, and basic cloud services (AWS Sagemaker, S3, EC2, EKS)
• Proven track record of independently building and evaluating models
• Applied deep learning and generative AI in projects, using TensorFlow and/or PyTorch
• Exposure to production model deployment and scripting

Must Have

• Experience in model debugging and prompt engineering
• Proficiency with Docker, Git, and basic monitoring tools
• Hands-on experience with cloud AI services (AWS Sagemaker, AI Services, Docker, EKS, Kubernetes)

Summary

We are seeking a mid-level Generative AI Engineer with 3+ years of hands-on experience in building, evaluating, and deploying deep learning and generative AI models. The ideal candidate will have a solid foundation in neural network architectures, practical experience with MLOps and cloud-based AI services, and the ability to independently manage end-to-end model development and deployment processes. This role requires strong scripting skills, familiarity with modern ML infrastructure, and a proactive approach to debugging and prompt engineering tasks