Design, develop, and maintain Agentic AI modules using Python and MCP, including agent-to-agent collaboration.
Architect and deliver GenAI-powered applications, integrating LLMs, prompt engineering pipelines, and RAG-based patterns into enterprise-grade services.
Implement robust authentication and authorisation for MCPs, AI Agents, and APIs using OAuth 2.0, JWT, IAM roles, and mTLS, ensuring compliance with enterprise security standards.
Build and deliver scalable, high-performance applications and microservices using Java or Python on AWS, leveraging services including EC2, S3, SQS, SNS, ECS, EMR, Lambda, Glue, Athena, API Gateway, and DynamoDB.
Design end-to-end solutions across batch processing and real-time streaming pipelines, and work across relational (Aurora Postgres) and NoSQL (DynamoDB, MongoDB) databases with strong data modelling practices.