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.