AWS Full Stack Engineer

Job Summary We are looking for an experienced Full Stack Engineer with strong AWS expertise and hands-on experience building and deploying Agentic AI use cases. The ideal candidate will have a solid background in frontend and backend development, AWS cloud services, and Generative AI application development using Amazon Bedrock.

The candidate should be capable of delivering end-to-end AI-powered applications, including AI agents, workflow automation, API integrations, and data visualization solutions. Experience with AWS Kiro, Amazon Bedrock, and Amazon QuickSight is highly desirable for developing and deploying intelligent enterprise applications.

Key Responsibilities

• Design, develop, and maintain scalable full stack applications using modern frontend and backend technologies.
• Build and deploy Agentic AI solutions using Amazon Bedrock, including AI agents, tool calling, multi-step reasoning workflows, and enterprise automation.
• Develop Generative AI applications using foundation models, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Use AWS Kiro to accelerate AI-assisted software development, prototyping, coding, and application delivery.
• Integrate Amazon Bedrock with AWS services, databases, APIs, and enterprise systems.
• Develop interactive dashboards and data visualization solutions using Amazon QuickSight.
• Build secure, scalable backend services, REST APIs, and microservices.
• Deploy, monitor, and optimize applications on AWS using appropriate cloud-native services.
• Implement authentication, authorization, logging, error handling, and security best practices.
• Collaborate with product managers, architects, and cross-functional teams to translate business requirements into production-ready solutions.
• Troubleshoot performance issues and ensure the reliability, scalability, and maintainability of deployed applications.

Mandatory Skills

• Full Stack Development: 5+ years of hands-on experience developing frontend and backend applications.
• AWS Cloud: Strong practical experience with AWS services and application deployment.
• AWS Certification: Must hold a valid AWS certification; candidates should specify the certification name.
• Amazon Bedrock: Hands-on experience building Generative AI applications using Amazon Bedrock.
• Agentic AI: Proven experience implementing and delivering Agentic AI use cases, preferably in production environments.
• AWS Kiro: Practical familiarity with Kiro and AI-assisted development workflows.
• Amazon QuickSight: Experience creating dashboards, reports, and data visualizations.

Technical Skills

• Frontend: React.js, Angular, JavaScript/TypeScript, HTML5, CSS3.
• Backend: Node.js, Python, Java, or equivalent backend technologies.
• AWS Services: Amazon Bedrock, AWS Lambda, Amazon API Gateway, Amazon S3, IAM, CloudWatch, and other relevant AWS services.
• Generative AI: LLMs, prompt engineering, RAG, embeddings, vector databases, and foundation models.
• Agentic AI: Agent orchestration, tool/function calling, multi-step workflows, API integrations, and human-in-the-loop workflows.
• Data & Visualization: Amazon QuickSight, SQL, data integration, dashboard development, and reporting.
• DevOps & Deployment: Git, CI/CD pipelines, Docker, and cloud application deployment.

Skills: java,aws,react,microservices,git,ci/cd,docker,typescript,sql,node.js,angular,python,rest apis,javascript