Turn your company's computer work into AI agents. Backed by Y Combinator.
About the role
As a founding engineer, you will build both the product and the agent infrastructure we use to operate the company. You will work directly with the founder, use what you build in our own workflows, and turn the useful parts into capabilities other people and companies can rely on. Privacy, permissions, and data handling are part of the engineering work. You should know what an agent can read, what it can change, and when it needs a person to take over.
What they're looking for
- Agent infrastructure: persistent memory, context retrieval, tool integrations, MCP servers, orchestration, scheduled work, and handoffs between agents and people
- Autonomous workflows that go from an event or goal to a verified result. Make them handle retries, interruptions, changing context, and partial failures without duplicating actions
- Evaluation and observability: traces, reproducible failure cases, regression checks, and feedback loops that improve behavior while preserving permissions and human control
- The core Screenpipe product: desktop capture, local storage, search, APIs, and interfaces that make computer history useful
- Reliability on real machines: debugging crashes, memory and CPU usage, audio problems, and failures that are difficult to reproduce
- Product ownership: talk to users, choose what matters, ship, and check whether the result helped. Keep the code understandable and maintainable as it grows
More about this role
Full-time. San Francisco, in person.
$120,000–$240,000 USD annual salary + approximately 0.5%–1.5% equity, depending on experience and scope.
We want to build a company where agents do substantial, useful work across engineering, support, research, sales, and operations. People set direction and make the decisions that need human judgment. Agents carry work forward, retain context, check results, and improve from feedback.
Screenpipe provides a foundation for that: open computer history. It captures screen and audio activity locally, makes it searchable, and gives agents context from what actually happened on a computer.
As a founding engineer, you will build both the product and the agent infrastructure we use to operate the company. You will work directly with the founder, use what you build in our own workflows, and turn the useful parts into capabilities other people and companies can rely on.
- Agent infrastructure: persistent memory, context retrieval, tool integrations, MCP servers, orchestration, scheduled work, and handoffs between agents and people.
- Autonomous workflows that go from an event or goal to a verified result. Make them handle retries, interruptions,...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Founding team roles · San Francisco Bay Area