Generative AI Engineer (Mid-Level)
Job Details
- Position: Generative AI Engineer
- Experience Required: 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, Retrieval-Augmented Generation (RAG), and vector databases
- Familiarity with MLOps principles, CI/CD, and basic cloud services:
- AWS Sagemaker, S3, EC2, EKS
- Proven ability to independently build and evaluate models
- Experience with deep learning frameworks:
- TensorFlow and/or PyTorch
- Exposure to production environment for model deployment and scripting
Must Have Skills
- Model debugging and prompt engineering
- Proficiency with:
- Docker, Git
- Monitoring tools
- Hands-on with cloud AI services:
- AWS Sagemaker, AI Services, Docker, EKS, Kubernetes
Summary
We are seeking a mid-level Generative AI Engineer with over 3 years of practical experience.
- Build, evaluate, and deploy deep learning and generative AI models
- Solid foundation in neural network architectures
- Practical experience with MLOps and cloud-based AI services
- Manage end-to-end model development and deployment independently
- Strong scripting skills, familiarity with modern ML infrastructure
- Proactive in debugging and prompt engineering tasks
Skills
ec2, aws, pytorch, learning, retrieval-augmented generation, tensorflow, rnn, transformers, neural network architectures, fine-tuning, docker, aws sagemaker, debugging, cloud ai services, vector databases, mlops, cnn, models, model debugging, cloud services, prompt engineering, monitoring tools, git, cloud, kubernetes, deep learning, eks, rag, building, ci/cd, s3
Job Highlights
The role offers an opportunity to work on cutting-edge generative AI models with cloud integrations, requires expertise in neural networks, and involves significant responsibilities in model deployment and debugging.