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Nine Hertz India Pvt Ltd

Posted 21 Jul 2026

AI -Native Full- Stack Senior software Engineer

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Employment
Full time
Team
Software Development
Posted
21 Jul 2026

About the role

We're looking for a senior full stack software engineer who is excellent at building with AI-assisted tools as part of their core workflow. You'll work across the stack — React, Next.js, and Python (FastAPI) — using tools like Claude Code, Cursor, or Copilot to design, build, and ship features quickly without compromising on quality. This role comes with high ownership — you'll be making architecture and design decisions, not just executing tickets.

What You'll Do

·                Architect and build frontend applications using React and Next.js

  • Design and build scalable backend services and APIs using Python (FastAPI)
  • Use AI-assisted coding tools daily as part of your development workflow, and help shape how the team adopts them
  • Design and manage databases, primarily PostgreSQL
  • Deploy and maintain services on AWS
  • Integrate ML models and LLM APIs (OpenAI, Anthropic, etc.) into product features
  • Make key technical decisions around architecture, scalability, and code quality
  • Write clean, well-tested, production-ready code with strong unit test coverage
  • Debug, optimize, and maintain services across the full stack
  • Mentor junior engineers and review code across the team
  • Collaborate closely with product and design to prototype and iterate quickly

What We're Looking For

·                4+ years of professional full stack software engineering experience

  • Strong hands-on experience with React and Next.js
  • Strong hands-on experience with Python/FastAPI
  • Solid understanding of system design, scalability, and architecture tradeoffs
  • Good working knowledge of PostgreSQL or similar relational databases
  • Experience deploying and managing services on AWS
  • Daily, practical experience using AI coding assistants — not just familiarity, actual workflow integration
  • Strong track record of writing tested, maintainable, production-grade code
  • Exposure to ML concepts/models — using or integrating them into products
  • Strong debugging skills and good judgment on when AI-generated code needs a second look
  • Excellent communication skills — able to explain tradeoffs and mentor others

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