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