Founding Engineer, Agent and Data Systems
1 нед. назад
150k–200k USD / годСШАSenior
etldata modelingapibackend
Founding engineer role with end-to-end ownership across agent, data, backend, and product systems in an AI infrastructure startup.
Другое
- About
- (YC S26) is building the full-stack infrastructure for AI-native businesses, redefining how companies are built, launched, and scaled in the 21st century. We're a four-person, seed-stage startup hiring our fifth teammate. Our team brings together engineering, ML, and product experience from Tesla, Waymo, Amazon, UC Berkeley, and Stanford, including research published at ICML.
- The role
- We are hiring a founding engineer with end-to-end ownership across agent, data, backend, and product systems. You will engineer harnesses across our agent systems, including tool-use loops, evidence-driven learning systems, replay and simulation infrastructure, evaluation and promotion gates, and the backend and full-stack product systems that hold everything together.
- You will work directly with the founders to turn prototypes into reliable product infrastructure and shape both the technical architecture and the product.
- What you will have ownership in
- • Design and operate reliable agent harnesses, execution systems, replay and simulation infrastructure, and evaluation and promotion gates.
- • Build backend systems for orchestration, state, versioning, observability, and reliability.
- • Build data systems, including pipelines, ETL, data modeling, and warehousing.
- • Ship full-stack product features across APIs, services, and user-facing workflows.
- • Work closely with customers and the founding team to identify problems, test ideas, and ship quickly.
- What we are looking for
- • Concrete evidence of building and operating LLM-driven agent systems, beyond calling a chat API.
- • Hands-on harness engineering experience, including tool execution, evals, replay, simulation, state, and observability.
- • Strong backend and systems engineering fundamentals.
- • Full-stack product instincts and the ability to work wherever the product needs you.
- • Data engineering experience with pipelines, ETL, modeling, or warehousing is a meaningful advantage.
- • High agency and ownership. You start, ship, and improve things without waiting for detailed direction.
- • Comfort with the pace and ambiguity of a very early-stage startup.
- We care more about demonstrated ability than years of experience. Strong side projects, open-source work, publications, internships, or startup experience can all be compelling when they show relevant outcomes.
- Location and compensation
- This is a full-time, in-person role in San Francisco. We support relocation and US visa sponsorship. The base salary is $150,000 to $200,000, plus 0.5% to 1.5% equity.