Member of Technical Staff

Edge Tech•San Francisco, CA

23h•Onsite

About The Position

This company is rebuilding consumer underwriting infrastructure from the ground up using AI-powered systems across document intelligence, fraud detection, and financial decisioning. Their platform has already helped over a million people gain access to housing by enabling faster, fairer, and more consistent underwriting decisions for large real estate operators across the U.S. This is not a narrowly scoped engineering role inside a large organization. You’ll help shape architecture, product direction, and core AI infrastructure while solving technically difficult problems in a highly regulated fintech environment. They are looking for highly autonomous engineers who thrive in ambiguity, move quickly, and enjoy owning systems end-to-end.

Requirements

8+ years of experience building and shipping production-grade full-stack or backend systems with strong ownership.
High-agency engineers who are comfortable making architectural decisions and operating in fast-moving startup environments.
Strong technical depth across modern backend systems, cloud infrastructure, APIs, databases, and scalable application development.
Experience with technologies such as TypeScript, React, Node.js, Python, Postgres, Redis, BigQuery, and GCP.
Strong communication skills, technical judgment, and the ability to think critically about scalability, reliability, and product impact.
Curiosity around AI-native systems, fraud detection, document intelligence, or applied AI workflows.

Responsibilities

Design and scale AI-native systems across underwriting, anti-fraud, document extraction, conversational workflows, and backend infrastructure.
Own technical architecture and execution across the full stack while solving complex engineering challenges with real-world consumer impact.