PersistOS
Full-Stack Developer (AI Memory + Intelligence Platform)
San Francisco, CA
Core
Worked on a production-style “AI that remembers” platform: a backend that turns user interactions into persistent intelligence artifacts, plus a Next.js frontend with streaming-first UX. The system emphasizes modular APIs, real-time chat streaming, vector-backed state, and background jobs for long-running intelligence processing.
Top signals only
Quick Stats
Real-time SSE
Vector-backed State
Background Jobs
Backend & Infra
- +Developed the AI memory backend using FastAPI with robust lifecycle management (async initialization, graceful cleanup hooks, shutdown resource handling).
- +Created a modular API surface with thin routers delegating to deeper services, including real-time chat via an SSE streaming endpoint (`/api/v1/chat/stream`).
AI & Data
- +Implemented embedding generation as a validated API (content-type checks + length validation) feeding into storage for vector similarity search.
- +Delivered a sizable automated test suite (API, concurrency, failure recovery, CORS behavior, and orchestration/integration coverage).
Frontend & DX
- +Built the Next.js App Router frontend with a modern component stack, including a rich editor experience using TipTap + markdown support for structured content workflows.