About the Role
This is a foundational engineering role at an early-stage AI/data startup, working directly alongside founding leadership to build the core infrastructure powering a real-time people data and AI agent platform. You'll have genuine end-to-end ownership — from ambiguous problem definition through production deployment — and a direct hand in shaping long-term technical strategy.
What You'll Do
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Design, build, and operate core infrastructure 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 initial scoping 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, internal tooling, technical tutorials, and experimental builds that showcase and stress-test platform APIs.
What We're Looking For
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10+ years of professional engineering experience with a strong track record of shipping to production at scale.
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Hands-on experience with Linux servers in production environments.
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Experience with agent orchestration, LLMs, or web scraping.
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Comfort working across distributed systems, cloud infrastructure (AWS or GCP), data pipelines, and microservices.
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High agency, first-principles thinking, and the ability to thrive in ambiguity.
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Background at a high-growth tech company or early-stage startup; prior founding experience is a strong plus.
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Must be authorized to work in the US — visa sponsorship is not available.
Compensation & Benefits
Salary range: $250,000 – $300,000 USD annually. Visa sponsorship is not available.
Location
On-site in Los Angeles, CA, United States.
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