Description

You will architect and deploy GenAI and Agentic AI applications on AWS, leveraging modern frameworks and full-stack engineering practices.

Responsibilities

• Develop full-stack applications using React.js and TypeScript, ensuring robust REST API architecture with proper auth flows and encryption.
• Build and deploy GenAI solutions using MCP, LangChain, LangGraph, and AWS Bedrock, including Agents and Knowledge Bases.
• Implement prompt engineering strategies and integrate Large Language Models (LLMs) such as Anthropic Claude 3.5 Sonnet v2.
• Orchestrate AWS services including S3, Lambda, Step Functions, EventBridge, SQS, SNS, and Textract for scalable backend infrastructure.
• Utilize GitHub Copilot and Copilot Studio to accelerate development cycles and maintain code quality.

Required Skills

• 10+ years of software engineering experience with expert-level proficiency in Python programming.
• Strong foundation in Java and C# alongside Python.
• Hands-on experience with React.js and TypeScript for frontend development.
• Deep knowledge of AWS services, specifically Bedrock, Lambda, Step Functions, EventBridge, SQS, SNS, S3, and Textract.
• Practical experience with GenAI frameworks: MCP, LangChain, and LangGraph.
• Understanding of AI/ML models, prompt engineering, and Retrieval-Augmented Generation (RAG) patterns.
• Familiarity with SDLC processes, CI/CD pipelines, and container orchestration.

Preferred Skills

• Experience with AWS RDS (SQL), AWS IAM, and Vector Databases (OpenSearch, PostgreSQL).

Key Skills

Education

Any Graduate