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 ForSkills: react,python,aws,postgresql,software engineers,full stack development

• 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