AI-Driven Full-Stack Engineer: End-to-End Builder

raydar; San Francisco, Northern (CA, KY); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Competitive equity

Relocation support

One-day virtual work trial

Job summary

raydar in San Francisco is seeking a Full-Stack Engineer to join a small, product-led team and own features across the frontend and backend. This on-site role emphasizes high agency, rapid delivery, and using AI fluently to boost speed and quality of work.

You will work closely with founders to shape an AI-native commerce platform, taking initiative on ambiguous problems and shipping high-impact features.

Qualifications

• 2+ years of professional experience as a full-stack software engineer.
• Experience across backend and frontend with end-to-end ownership of features.
• Experience at a venture-backed startup or other product-led, high-growth company.
• Practical fluency with AI development tools to scale or automate work.
• High agency with strong product sense and bias toward action.
• Clear communication and collaborative feedback style.
• Strong technical education or founder experience.

Responsibilities

• Build across the stack and own features from design through production launch.
• Treat the frontend as a product surface, improving UX beyond visuals.
• Design and extend backend systems, APIs, data flows, and integrations.
• Use AI tools as a core part of the development workflow.
• Ship quickly, learn from real users, and improve the product from feedback.
• Collaborate with founders and engineers on decisions and priorities.

Skills

Full-stack development

AI tools fluency

Product sense

Initiative

Strong communication

Tools

AI development tools

Job description

raydar in San Francisco is seeking a Full-Stack Engineer to join a small, product-led team and own features across the frontend and backend. This on-site role emphasizes high agency, rapid delivery, and using AI fluently to boost speed and quality of work.

You will work closely with founders to shape an AI-native commerce platform, taking initiative on ambiguous problems and shipping high-impact features.