Software Engineer, AI & Data Systems

Job description

### About the Role Join a small, fast-moving team building core platform capabilities and customer-facing products at a seed-stage people data and AI company. You'll work across backend, data infrastructure, and AI agent systems — taking ambiguous problems end-to-end from architecture through production ownership. This is a high-ownership role with direct exposure to founders and customers. ### What You'll Do - Build and ship customer-facing products and platform capabilities across backend, data, infrastructure, and frontend surfaces. - Design and operate high-volume data pipelines and services at massive scale with strong reliability, security, and observability. - Build AI agents, agent harnesses, and developer tools — then own them reliably in production at large scale. - Make architecture decisions, explain tradeoffs, and iterate designs as assumptions evolve. - Work directly with founders and customers to turn vague requests into clear product decisions and working software. - Apply modern AI development tools aggressively while maintaining strong engineering judgment and accountability. ### What We're Looking For - 1–6 years of software engineering experience, with at least one production system owned end-to-end from concept through deployment and operations. - Strong backend coding skills: APIs, data models, and distributed systems. - Experience at an early-stage startup (seed through Series A/B) shipping across both product and infrastructure. - Hands-on experience building and operating high-volume data pipelines. - Strong CS fundamentals, ideally from a rigorous academic background. - Experience with AI-native development: LLMs, agent frameworks, or similar. - Familiarity with identity resolution, data matching, or enrichment systems at scale is a plus. - Available to start by mid-September 2026 for an on-site residency program. ### Compensation & Benefits **Salary:** $200,000 – $280,000 USD annually. Visa sponsorship is not available. ### Location On-site in **San Francisco, CA, USA**. This is a full-time, in-office role.