Senior Full Stack Software Engineer

What You'll Do

• Work with founders, product, AI, operations and domain experts as you fully own substantial product and platform work from problem definition through production rollout.
• Build backend systems that can handle real production complexity: clear APIs, well-modeled data, reliable execution, useful observability, and maintainable code.
• Turn messy operational workflows into clean software abstractions, internal tools, automations, and customer-facing features.
• Continuously help the team discover where AI meaningfully improves software quality and velocity, and where it doesn't.
• Improve the engineering system itself: better tools, better patterns, better deployment practices, better observability, fewer repeated mistakes, less accumulated technical debt.
• Mentor other engineers by raising the quality of design discussions, implementation choices, reviews, and production ownership.

Who We're Looking For

• 10+ years of professional software engineering experience with deep backend expertise.
• Your default process integrates AI tools into your daily engineering workflows to continuously improve velocity and quality.
• A track record of building and operating real production systems.
• Excellent instincts around APIs, data modeling, databases, queues, reliability, performance, and operational simplicity.
• Frontend ability to build and polish product experiences when needed.
• Experience working in an early-stage environment where requirements are incomplete, priorities shift, and ownership is broad.
• Strong product judgment: shipping code solving the problem.
• A pragmatic approach to architecture: you know when to design carefully, when to ship the simple version, and when to delete complexity.
• You can lead projects, take feedback, engage in thoughtful discussion, and get the work done.
• Experience building AI-enabled products, internal platforms, workflow systems, or developer tools.
• Experience with TypeScript, React, Python, Julia, Java, Go, or similar technologies.
• Experience with Postgres, AWS, data pipelines, document processing, integrations, or compliance-sensitive systems.