AWS Full Stack Engineer

Zorba AI; Kolkata Metropolitan Area; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Zorba AI is seeking an experienced Full Stack Engineer with strong AWS expertise to design and deploy AI-powered applications. The role requires building end-to-end solutions, integrating AWS Bedrock and Kiro, and delivering enterprise-grade software with dashboards and automation.

The candidate will work across frontend and backend domains, implement secure APIs, and collaborate with product teams to translate business needs into scalable systems.

Qualifications

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

Responsibilities

• Design, develop, and maintain scalable full stack applications with modern frontend and backend technologies.
• Build and deploy Agentic AI solutions using Amazon Bedrock, including AI agents, tool calling, and multi-step workflows.
• Develop Generative AI applications using foundation models, RAG, and prompt engineering.
• Integrate Bedrock with AWS services, databases, APIs, and enterprise systems.
• Develop interactive dashboards and data visualizations using QuickSight.
• Build secure, scalable backend services, REST APIs, and microservices.
• Deploy, monitor, and optimize applications on AWS with cloud-native services.
• Collaborate with product managers and cross-functional teams to translate requirements into production-ready solutions.

Skills

Full Stack Development

AWS Cloud

AWS Certification

Amazon Bedrock

Agentic AI

AWS Kiro

Amazon QuickSight

Tools

React.js

Angular

Node.js

Python

Java

Docker

Git

CI/CD

REST APIs

Job description

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.

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