About the RoleThis 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- Design, build, and operate core infrastructure including APIs, LLM-powered workflows, scraping systems, and large-scale knowledge graph architecture.
- 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.
- Own projects end-to-end, from initial scoping through deployment and iteration, shipping quickly without compromising system integrity.
- Collaborate directly with senior leadership on technical decisions, roadmap priorities, and foundational architectural choices.
- 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- 10+ years of professional engineering experience with a strong track record of shipping to production at scale.
- Hands-on experience with Linux servers in production environments.
- Experience with agent orchestration, LLMs, or web scraping.
- Comfort working across distributed systems, cloud infrastructure (AWS or GCP), data pipelines, and microservices.
- High agency, first-principles thinking, and the ability to thrive in ambiguity.
- Background at a high-growth tech company or early-stage startup; prior founding experience is a strong plus.
- Must be authorized to work in the US - visa sponsorship is not available.
Compensation & BenefitsSalary range:
$250,000 - $300,000 USD annually. Visa sponsorship is not available.
LocationOn-site in
Los Angeles, CA, United States. 
