Job descriptionOn-site | San Francisco, USA $200,000 – $240,000 Base + Equity AI Product | High-Agency Startup | 0-to-1 product build Snapshot Join a high-agency, AI-native startup (12–14 team members, ex-founders & CTOs) building what could become the Claude for complex jobs — a personal AI chief of staff designed for knowledge workers. This is a senior, product-first engineering role with end-to-end ownership , where engineers don't just code — they shape the product, interact with users, and drive outcomes . If you're looking for structured environments, tickets, or low ownership — this is not the role. What You'll Do Own product features end-to-end (no ticket-taking culture) Build backend-heavy systems with AI model integrations & agent workflows Contribute to infrastructure and DevOps where needed Implement lightweight frontend components when required Work directly with users and translate feedback into shipped improvements Operate in a fast-moving, ambiguity-tolerant environment Tech Stack TypeScript · React · Next.js · Node.js PostgreSQL · AWS · Cloudflare AI model integrations (multi-provider) What We're Looking For Senior Full-Stack Engineer ( backend-leaning ) Strong systems design & architecture thinking Experience building AI-enabled products (non-negotiable) Hands-on exposure to: Agentic workflows Agent loops / orchestration Model interaction patterns Comfortable owning infrastructure & deployment layers High agency: operates independently, drives decisions, ships fast Bonus: Early stage startup experience Former founder / early engineer Side projects with LLMs (OpenAI, Claude, etc.) Compensation & Benefits $200,000 – $240,000 base salary Equity (early-stage upside) Paid trial period (2 weeks, flights + accommodation covered) High-impact role in a venture-backed AI company Location & Eligibility (Strict) On-site: San Francisco (non-negotiable) US-based candidates preferred European candidates considered if O-1 eligible Must be willing to relocate and work fully in-office Who Should NOT Apply No hands-on AI product experience Only enterprise / low-ownership environments Prefer remote or hybrid work Passive or low-agency working style Ideal Candidate Profile Built or shipped AI products (from scratch or early stage) Thinks in systems, not just code Thrives in high-energy, direct communication environments Comfortable with ambiguity, speed, and ownership Why This Role Work on a next-gen AI system beyond chatbots real-world task execution Join post-fundraising, pre-scale phase maximum impact Collaborate with high-agency builders (ex-founders, CTOs) Own features from idea architecture production iteration Direct exposure to users, feedback loops, and product decisions This is where builders come to define the next era of AI — if you're ready to own, ship, and shape the future, we want to hear from you...