Hiring: Product Engineer Company: Harper Location: San Francisco, CA Job Posted Time: 2026-09-03 07:38:03 Employment Type: Remote Target Skills & Keywords : LLM, Python, RAG, Systems Design, TestNG, TypeScript About the job Experience: •Schedule: Monday–Friday, very early morning start, in-office five days a week. •Technical screen — 60 min remote: project deep dive + system design •Super Day on-site — meet the team, sit in on the operation, do real work alongside us. •If you want to build AI capabilities against business problems you discover yourself, ship code that runs a real business, and work with people who show up with the same intensity every day—send your resume and a link to something you've built that had measurable business impact. Required Skills: •You're a full-stack engineer with applied-AI fluency. Frontend, backend, agents, evals—you move across the stack because the problems don't respect stack boundaries. You optimize for user and business impact, not code elegance. You treat AI tooling as a core part of the workflow, not a novelty. •You work directly with founders. No committee. No approval chain. You build it, you ship it, you own the outcome. Prototype Monday, ship Tuesday, measure Wednesday. If it works, push to production. If not, try something else. •Ship AI-powered features end-to-end — Frontend, backend, agents, and evals; you own the whole thing, not a slice •Embed with operators — Sit with sales, service, and underwriting; find what's broken before they tell you •Build systems that compound — Every decision gets traced; every outcome feeds back; the AI gets smarter with each interaction •Stay on the frontier — New model drops? You're testing it that day. New capability lands? You're the one who ships it •Move fast with AI tooling — Cursor, Claude Code, and whatever comes next; manage multiple coding sessions to compress weeks into days •Own the metric, not the feature — "We increased conversion by 15%," not "we shipped the thing" Qualifications: •Software engineering experience shipping production systems (level determined during interviews) •Proficiency in Python, TypeScript, or similar •Demonstrated capacity to work across the stack: frontend, backend, and the AI layer •Based in San Francisco or willing to relocate •Voice AI or real-time systems experience •RAG, agent frameworks, or evaluation systems •Background in operations tooling, sales tech, or workflow automation Compensation: •Salary: $140,000–$280,000 depending on experience + performance bonuses & equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!