Description

Build and deploy Generative AI applications using AWS Bedrock, SageMaker, and cloud-native services to support enterprise initiatives.

This role is on-site.

Responsibilities

• Design and develop RAG solutions, AI agents, and prompt engineering workflows.
• Build scalable backend services and APIs using Python for enterprise integration.
• Implement MLOps best practices using SageMaker Studio, Pipelines, Feature Store, and Model Registry.
• Configure and manage AWS infrastructure including IAM, S3, Lambda, API Gateway, and CloudWatch.
• Optimize model performance, governance, and cloud costs while collaborating with cross-functional teams.

Required Skills

• 10+ years of experience in software engineering, cloud computing, or AI/ML.
• Strong expertise in AWS Bedrock and SageMaker.
• Proficiency in Python for backend development and API integration.
• Hands-on experience with RAG architectures and AI Agents.
• Knowledge of prompt engineering and Generative AI application development.
• Experience with MLOps and machine learning lifecycle management.
• Ability to configure AWS services such as IAM, S3, Lambda, and API Gateway.

Preferred Skills

• Bachelor’s degree in Computer Science, AI, Data Science, Machine Learning, or Engineering.

Key Skills

Education

Any Graduate