Senior Full-Stack Engineer (Backend-Leaning) | AI-Native Product

• On-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