AI -Native Full- Stack Senior software Engineer

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