Generative AI Engineer

About the job

Must Have: - Strong proficiency in Python and Rest APIs - Hands-on experience with AWS Bedrock (foundation models, prompt engineering, managed inference) - Practical expertise in Amazon SageMaker (training, tuning, monitoring, JumpStart) - Experience with commercial LLMs (eg. OpenAI GPT, Claude, Google Gemma) and open-source LLMs (eg. Llama, Qwen) - Good understanding of AI/ML techniques (RAG, Embeddings etc.)- Strong debugging, optimization skills Good to Have: - MLOps knowledge (SageMaker Pipelines, CI/CD for ML) - Exposure to NoSQL (MongoDB, DynamoDB) and boto3/PyMongo - Containerization (Docker, Kubernetes) for SageMaker custom containers - Awareness of other AWS Managed Services

Requirements

• Python
• AWS Bedrock
• Amazon SageMaker
• AI/ML techniques

Preferred Technologies

• Python
• AWS Bedrock
• Amazon SageMaker
• AI/ML techniques