Position: Generative AI Engineer

Experience: 3+ years

Budget: Up to 15 LPA

Location: In office – 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

📌 Generative AI Engineer (Mid-Level, 3+ Years Experience) (Coimbatore)
🏢 r3 Consultant
📍 Coimbatore