Requirements Summary

Strong Python fundamentals, data modeling, SQL skills, experience with graph databases, and comfortable running services on AWS

Benefits

Full Job Description

Role Overview This role owns the backend behind the memory layer for AI agents, designing clean REST APIs, modeling data across relational and graph stores, and operating services in production. What You Will Do Design & ship REST APIs, model data & schemas, debug customer issues end to end, optimize performance, build services in Python, operate in the cloud, and instrument everything. Why It Might Be a Fit The ideal candidate has 5+ years of experience building backend systems, strong Python fundamentals, and experience with async programming, data modeling, and SQL skills. Requirements 5+ years building backend systems and shipping REST APIs to production Strong Python fundamentals; experience with async programming and a major web framework (FastAPI/Django/Flask) Solid data modeling and SQL skills; hands-on with query tuning and performance debugging in Postgres/MySQL Experience with graph databases (e.g. Neo4j or Amazon Neptune) and the data modeling trade-offs that come with them Comfortable running services on AWS with Docker and Kubernetes Demonstrated root-cause analysis and ownership from incident to prevention Clear communicator and effective collaborator with frontend, research, and customers Benefits Competitive salary Equity in a $24M Series A & Seed-funded company Opportunity to work on a cutting-edge memory layer for AI agents Collaborative and dynamic work environment High bar, high trust culture with a focus on velocity, ownership, and data-driven decision making

Skills and Technologies