Skills
Backend engineering
Distributed systems
AI agent infrastructure
Software architecture
Production deployment
System monitoring
On-call operations
Computer-use agents
Web automation
Payment systems integration
Scalable systems
Reliability engineering
Debugging complex production systems
Backend systems
AI agents
Payment integrations
Production monitoring
Cloud infrastructure
Summary
✨ AI‑Generated
An ambitious technology startup is seeking a Senior Backend Engineer to build infrastructure for autonomous AI agents that navigate online commerce workflows. You will own architecture, implementation, deployment, monitoring, and on-call operations for highly reliable systems handling real-world transactions around the clock. The role involves developing computer-use agents, integrating with dynamic external systems, and solving complex reliability challenges in production. You will work closely with senior technical leadership on innovative, high-impact infrastructure.
Highlights
Work on challenging AI infrastructure at the intersection of autonomous agents and online commerce. The role offers end-to-end ownership of production systems, direct collaboration with technical leadership, exposure to frontier AI technologies, and the opportunity to build systems operating at significant scale.
Description
Sage AI Labs
San Francisco Full-time [Onsite]
About Us
Sage AI Labs is building the infrastructure that lets AI agents transact on the open web.
It is one of the few genuinely unsolved problems left in commerce, and whoever solves it sets the defaults everyone else builds on top of.
The company was founded by Sebastian Thrun (founder of Google X and Waymo, Udacity) and is backed by leading venture and strategic investors.
About The Role
We build agents that shop for you.
They find products across the open web and complete the purchase end to end.
Real carts, real payments, and real systems built to stop them.
You would own that.
Architecture, code, deploys, monitoring, and on-call for systems that transact around the clock, working directly with our CTO.
What you'll own
Our checkout agents.
Frontier-model computer-use agents driving live checkouts at scale, plus the machinery that keeps them standing when the ground moves.
Every retailer breaks differently and they change without warning.
Your job is to make failure rare and recovery automatic.
Ingestion at scale.
Take product ingestion from hundreds of sources to thousands.
The answer is not more hand-written code.
It is infrastructure that generates, validates, and monitors itself.
Search and ranking.
Embedding-based retrieval, LLM query understanding, reranking, and caching, across a catalog that never stops changing.
What we're looking for
5+ years building backend and infrastructure systems, with strong PythonYou have owned production systems end to end: deploys, databases, observability, and the pager.
You have been the person who got paged, and you fixed the class of problem rather than the incidentYou like adversarial problems.
Systems where something on the other side is actively working against youYou take correctness seriously because the stakes are real.
These systems spend customers' money, so a silent failure is a wrong order, not a red buildYou can move without a finished spec.
We are small, and the roadmap changes when the market does
Nice to have
Built AI-first products or LLM-based agents in production, not just in a prototypeWorking knowledge of classic ML and deep learning, enough to reason about retrieval and ranking rather than only calling an APIBackground in e-commerce, payments, or fraud and risk infrastructure
Why this role
Very few engineers get to own a category-defining system while the category is still being defined.
This is one of those seats, at the point where it still counts as early.
A year from now this problem will have a standard answer and someone will have written it.
We intend for that to be us.
Compensation And Benefits
Meaningful early-stage equityMedical, dental, and vision coverage; other benefitsSan Francisco based
