Full Stack AI Developer - TypeScript/Express.js in Bangalore, भारत

We are looking for an experienced Full Stack AI Developer with strong hands-on expertise in TypeScript, React, https://jobeax.com/link/LzgYLL5J5d0xe0KT REST APIs, and modern AI application development. The role will involve designing scalable full-stack architectures, building enterprise-grade applications, and integrating LLMs, RAG, agentic workflows, and AI evaluation capabilities into production https://jobeax.com/link/1Rn7zv9wYEsoo7Eu ideal candidate should have strong software engineering fundamentals and the ability to work across frontend, backend, distributed systems, and AI application https://jobeax.com/link/wAQHhmxQ12M1dHib Responsibilities:- Design, develop, and evolve scalable full-stack applications using TypeScript, React, https://jobeax.com/link/JSd7UYCSg572jJDY, and Express.- Design robust TypeScript architectures with strong type safety, modularity, reusability, and maintainability across frontend and backend systems.- Develop advanced React applications and component architectures for large-scale enterprise products.- Design, develop, and maintain scalable https://jobeax.com/link/LzgYLL5J5d0xe0KT backend services and RESTful APIs.- Build reliable, high-performance services with appropriate focus on scalability, security, observability, and maintainability.- Develop and integrate LLM-powered applications using prompt engineering, RAG, tool calling, and agentic workflows.- Build AI-enabled features using retrieval pipelines, embeddings, vector search, and context-management techniques.- Implement and optimize agentic workflows, orchestration, and AI application pipelines.- Develop asynchronous and distributed processing solutions using Redis, BullMQ, or equivalent technologies.- Implement AI evaluation and quality frameworks to assess relevance, accuracy, reliability, latency, and other model/application metrics.- Optimize SQL queries, data access patterns, and backend performance for high-volume applications.- Design and implement containerized, cloud-native applications using Docker and modern deployment practices.- Apply distributed-systems principles to build resilient, scalable, and fault-tolerant services.- Collaborate with Product, UX, Data, AI, DevOps, and Architecture teams to deliver end-to-end solutions.- Participate in technical design discussions, code reviews, architecture reviews, testing, and production support.- Troubleshoot complex frontend, backend, API, distributed-system, and AI application issues and drive root-cause resolution.- Establish reusable engineering patterns, coding standards, testing practices, and development best practices.- Stay current with modern AI platform engineering, LLM application development, and full-stack architecture https://jobeax.com/link/bHP32fTLsKnWIqIn Skills & Experience:- 5 - 10 years of experience in full-stack software development with strong production engineering experience.- Strong hands-on expertise in TypeScript, React, https://jobeax.com/link/JSd7UYCSg572jJDY, and Express.- Strong understanding of TypeScript architecture, type safety, generics, interfaces, and scalable code organization.- Strong experience building modern React applications, reusable components, hooks, state management, and frontend architecture.- Strong experience developing RESTful APIs and backend services using https://jobeax.com/link/BrzcQOy4maNjui1r Strong understanding of API design, authentication/authorization, error handling, validation, and service integration.- Hands-on experience with LLM application development, prompt engineering, RAG, and agentic workflows.- Strong understanding of LLMs, embeddings, vector search, context management, and AI application architecture.- Experience with AI evaluation and techniques for measuring and improving AI application quality.- Hands-on experience with Redis and/or BullMQ for caching, queues, asynchronous processing, or background jobs.- Strong SQL skills with experience in query optimization, data modelling, and efficient data access.- Good understanding of distributed systems, microservices, asynchronous processing, and fault-tolerant architectures.- Experience with Docker and cloud-native application development.- Strong understanding of Git, CI/CD, testing, debugging, and production support practices.- Strong analytical and problem-solving skills with the ability to work across both software and AI engineering challenges.- Good communication and cross-functional collaboration skills. (ref:hirist.tech)