Role & responsibilities

- Ability to work with business stakeholders to convert loose business requirements into software systems and application requirements, utilizing AI collaboration tools to rapidly draft and iterate on BRDs and SRDs.
- Convert SRDs into technical and application designs working with the Architect, leveraging LLMs to quickly prototype alternative patterns and benchmark system architectures.
- Use prescribed software technology alongside cutting-edge AI development environments (Cursor, Copilot, or specialized coding agents) to build application/software systems across Front-end, Back-end, and Database systems.
- Act as the expert human-in-the-loop and gatekeeper for AI-generated codereviewing, refactoring, and verifying outputs to eliminate technical debt and enforce strict security guardrails (e.g., preventing payload tampering or API manipulation).
- Design and implement intelligent application features, including Retrieval-Augmented Generation (RAG) pipelines, asynchronous LLM orchestrations, and basic vector infrastructure (e.g., PGVector, Pinecone, or LangChain/LlamaIndex).
- 2+ years of experience implementing robust, distributed web applications, with a clear personal trajectory of scaling individual velocity over the past 12–18 months using generative AI tools.




- Track-record of technical delivery using software development best practices (such as DRY, SOLID, and secure coding patterns).
- Track-record of being a highly execution-focused, hands-on developer who thrives in modern, flattened engineering structures where individuals own massive functional surface areas.
- Experience building full-stack web applications with Java/Node (Spring Boot, NestJS/Express) and React JS / Angular, Redux (MEAN/MERN stacks, Java).
- Experience in writing and generating robust unit test cases using automated testing frameworks to ensure bulletproof code coverage during rapid AI iterations.
- Experience with Continuous Integration and Continuous Deployment (CI/CD) practices and tools to maintain a rapid, automated pipeline from code generation to production cloud environments.
- Experience in delivering applications in a global agile delivery model, managing token/infrastructure costs, and navigating shifting product requirements seamlessly.
- Experience in deploying and managing containerized applications using Docker & Kubernetes on Azure or any other major cloud platform.
- Experience in React server-side rendering (SSR) using Airbnb/hypernova, or component isolation with React Storybook is a plus

Preferred candidate profile

📌 AI Native Full Stack Developer (Mumbai)
🏢 VBeyond
📍 Mumbai