About the Role
This is a high-ownership Staff Engineer role at a seed-stage AI and people-data company in San Francisco. You will be a foundational technical contributor, shaping core infrastructure and platform architecture at a critical early stage. The work directly influences the company's long-term technical direction.
What You'll Do
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Design, build, and operate core infrastructure for a people-data and agent platform, including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture.
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Architect and maintain production-grade systems capable of handling millions of API requests, with a focus on performance, cost efficiency, and reliability across cloud and Linux server environments.
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Own projects end-to-end, from ambiguous problem definition through deployment and iteration, shipping quickly without compromising system integrity.
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Collaborate directly with senior leadership on technical decisions, roadmap priorities, and foundational architectural choices.
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Contribute broadly across the stack, including developer documentation, technical tutorials, internal tooling, and experimental builds that showcase and stress-test APIs.
What We're Looking For
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10 or more years of professional software engineering experience shipping code to production at scale.
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Hands-on experience with Linux servers in a production environment.
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Experience with agent orchestration, LLMs, or web scraping.
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Experience designing or operating APIs, distributed systems, cloud infrastructure (AWS or GCP), or high-volume data pipelines.
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Demonstrated ability to take ambiguous projects from architecture through deployment and iteration with minimal oversight.
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A degree in computer science or a closely related field from a well-regarded university.
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Experience at a high-growth tech company or early-stage startup; previous founding experience is a plus.
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Based in San Francisco and comfortable working on-site.
Compensation & Benefits
Base salary in the range of $250,000 to $300,000 USD annually, plus equity. Visa sponsorship is not available for this role.
Location
On-site in San Francisco, CA, United States.
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