Fullstack Engineer ($185K – $250K + 0.1% – 0.3% Equity) at Founders Fund-backed AI Enterprise Startup

CoffeeSpace; San Francisco (CA); On-site; USD 185,000 - 250,000; Full time

Job summary

CoffeeSpace in San Francisco is seeking a Fullstack Engineer to join a 12-person team rebuilding the foundation of one of the world's largest industries with applied AI. You will own features end-to-end, ship to production from day one, and collaborate with enterprise customers to deliver measurable outcomes.

The role emphasizes ownership, fast-paced work, and growth as the team scales from 12 to the next stage, with a strong backend (Python) and frontend (React) focus and AI integration in

Qualifications

• 1+ years of professional software engineering experience shipping production-grade code with a strong backend focus.
• Experience designing and shipping production APIs and databases.
• Experience with AI/ML integration in production and cloud infrastructure (AWS/GCP/Azure).

Responsibilities

• Build and ship production-grade fullstack features end-to-end across backend Python APIs, databases, and React frontends, taking full ownership of specs and delivery from ideation through customer deployment.
• Integrate and scale AI/ML systems in production including LLMs, RAG pipelines, function calling, and multimodal AI.
• Work hands-on with enterprise clients to integrate solutions, iterate quickly on feedback, and deliver measurable business outcomes.

Skills

Backend focus

Production APIs

AI/ML integration

Ownership mindset

Competitive programming

Education

CS/technical degree

Tools

AWS

GCP

Azure

Job description

About the job

Job Title: Fullstack Engineer

Salary: $185K — $250K + 0.1% — 0.3% equity

Location: San Francisco, CA (Monday through Friday in-office)

Company Description: Founders Fund-backed applied AI startup, SF, multi-seven figure ARR in under a year

Job Description: Join a 12-person team rebuilding the foundation of one of the largest and most broken industries in the world with applied AI. This company hit multi-seven figure ARR and roughly 50% month-over-month growth in under a year, raised a 13x oversubscribed $3.8M seed round from Peter Thiel’s Founders Fund, led by the partner who was early at OpenAI and Scale AI, and has capital in the bank with no urgent need to raise. You deploy to production on day one, you create your own specs, and you own your work end-to-end. This is not a role for people looking for a standard 9 to 5.

Why this role is remarkable

• Work on genuinely hard, real-world applied AI problems including multimodal agents and complex document processing in a $280B industry that is broken and ripe for automation, backed by one of the most selective and prestigious venture funds in the world
• Join a talent-dense team where candidates who interview are consistently impressed by the technical bar, with teammates from top quant firms, top competitions, and elite engineering backgrounds who set a high standard every day
• Ship to production on day one with full end-to-end ownership of your features, work directly with enterprise customers, and have a clear path to scale into leadership as the team grows from 12 to the next stage

What you will do

• Build and ship production-grade fullstack features end-to-end across backend Python APIs, databases, and React frontends, taking full ownership of specs and delivery from ideation through customer deployment
• Integrate and scale AI/ML systems in production including LLMs, RAG pipelines, function calling, and multimodal AI, working on the kind of applied problems that most engineers only read about
• Work hands-on with enterprise clients to integrate solutions, iterate quickly on feedback, and deliver measurable business outcomes in a fast-paced environment where 50-plus hours per week is the norm

The ideal candidate

• 1 or more years of professional software engineering experience shipping production-grade code with a strong backend focus and clear signals of technical excellence, whether from a top-tier company, a quant firm, strong academic competitions like IMO, IOI, or ICPC, or published and applied AI work
• Strong backend engineering in Python with experience designing and shipping production APIs and databases, plus familiarity with AI/ML integration in production systems and cloud infrastructure across AWS, GCP, or Azure
• A CS or technical degree from a top program, a high-ownership mindset, and genuine excitement about working in an intense, fast-paced environment where you are expected to figure things out and deliver, not wait for direction

If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for — always with your permission.

A quick note on authenticity

This is a real, active role we’re supporting in partnership with the hiring team. We don’t post speculative roles and work closely with teams on their actual hiring needs.