Description

You will design, build, and deploy production-ready AI solutions using GenAI and traditional ML on AWS.

This role is hybrid.

Responsibilities

• Design and implement end-to-end AI/ML solutions, including RAG, multi-agent, and protocol-based systems.
• Build and deploy serverless and containerized AWS architectures for AI applications.
• Fine-tune, optimize, and monitor models for performance and scalability.
• Develop APIs, microservices, and CI/CD pipelines to support continuous delivery and observability.

Required Skills

• 5+ years of experience building and deploying AI/ML applications in production.
• Proficiency in Python with strong experience in PyTorch and TensorFlow.
• Hands-on experience with GenAI frameworks including LangChain and LlamaIndex.
• Deep knowledge of AWS services: SageMaker, Bedrock, Lambda, and S3.
• Experience with Docker, Git, and CI/CD pipelines.
• Understanding of SQL/NoSQL databases and vector databases.
• Ability to integrate AI capabilities into enterprise applications.

Key Skills

Education

Any Graduate