Generative AI Engineer

Job description

**DETAILED JOB DESCRIPTION** Design, build, and deploy scalable AI/ML and GenAI solutions on AWS. The role requires strong hands-on expertise in machine learning, deep learning, LLM integration, and production-grade model deployment in cloud environments. **Key Responsibilities** - Design and develop ML/DL models for enterprise use cases - Build and deploy GenAI/LLM-based solutions (RAG, prompt engineering, fine-tuning) - Develop scalable inference pipelines on AWS - Work with large structured and unstructured datasets - Implement model monitoring, evaluation, and performance optimization - Integrate AI models with backend systems via APIs - Collaborate with data engineers and application teams - Follow best practices in model versioning, testing, and deployment **Required Skills** - 9–12 years of overall experience with strong ML engineering focus - Hands-on experience in ML and DL frameworks (TensorFlow / PyTorch / scikit-learn) - **Experience working with LLMs and GenAI architectures** - **Strong Python programming skills** - **Experience deploying models on AWS (SageMaker, EC2, Lambda, S3)** - Experience building REST APIs for model serving - Strong understanding of data preprocessing and feature engineering