Senior Web Developer (AI-Augmented)
New
J
JobgetherHealthcare IT
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSNest.jsNext.jsReactCI/CD
Requirements
- 5+ years of professional web development experience.
- Demonstrated daily experience using AI coding tools (e.g., Claude Code, Cursor, Copilot, Windsurf).
- Hands-on experience building production features using LLMs, including RAG, function calling, or agentic systems.
- Deep expertise in React, including performance optimization and component architecture.
- Strong experience with TanStack tools, specifically React Query and TanStack Router.
- Solid experience developing modular and testable backend services with NestJS.
- Proficiency with Next.js, including SSR, SSG, and API routes.
- Strong proficiency with AWS (Lambda, S3, CloudFront, ECS/Fargate).
- Understanding of modern CI/CD practices and containerized application environments.
- Strong technical judgment to evaluate AI-generated code for quality and production risks.
- Ability to collaborate with product, design, and engineering teams.
- Strong problem-solving and independent remote operation skills.
Responsibilities
- Design, develop, and maintain scalable full-stack web applications across frontend and backend systems.
- Lead architecture discussions and drive implementation of key technical decisions.
- Build modern frontend experiences using React and TanStack, focusing on performance and scalable architecture.
- Develop modular, testable backend services using NestJS.
- Implement server-side rendering, static generation, and API routes using Next.js.
- Build and maintain cloud infrastructure and deployment workflows using AWS services such as Lambda, S3, CloudFront, and ECS/Fargate.
- Design and ship AI-powered product capabilities, including LLM integrations, RAG pipelines, and agentic workflows.
- Use AI coding assistants to accelerate development, debugging, testing, and repetitive engineering tasks.
- Apply engineering judgment to review and validate AI-generated code for production readiness.
- Maintain engineering quality through code reviews, automated testing, and CI/CD practices.
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