About Popai
Popai is on a mission to transform the millions of conversations that happen between care teams and patients every day. We’re building the AI platform that turns every patient interaction into action - helping care teams understand what patients need, close gaps in care, and reach the people who need them most. Our goal is simple but ambitious: make healthcare more proactive, personal, and accessible for millions of patients.
This role spans our entire product stack. From React frontends to Node.js microservices, event-driven backends, and AI systems, you will build end-to-end features across Popai's product suite. You will collaborate closely with product, design, and AI teams to deliver high-impact solutions from concept to production.
What you'll do
Build & Own: Develop end-to-end features across our React frontends, Chrome extension (Analyst Copilot, Management Portal, real-time conversation widget), and Node.js/Express backend services.
Backend & API Design: Design and implement RESTful APIs, background workers, and data models using Express.js, Prisma, and PostgreSQL.
Event-Driven Architectures: Build asynchronous, event-driven systems using NATS to process signals and coordinate between services.
Real-Time Features: Implement WebSocket/Socket.io systems for live detection workflows and real-time user interactions.
AI Integration: Embed AI capabilities into production systems, collaborating with our AI engineers on LangChain/LangGraph-powered agents.
Data & Observability: Manage database schemas and queries across PostgreSQL and Redis, while integrating observability tools (Pino, OpenTelemetry, Prometheus).
Engineering Culture: Contribute to best engineering practices, testing, and continuous delivery as we scale.
Requirements
Experience: 5+ years of full-stack development experience with strong backend depth in Node.js and TypeScript.
Core Tech: Deep knowledge of PostgreSQL, Redis, Express.js, React, and TypeScript.
System Design: Solid understanding of event-driven architectures, real-time communication (WebSockets), and distributed systems concepts (idempotency, fault tolerance).
DevOps & Cloud: Hands-on experience with Docker, CI/CD pipelines, and cloud platforms (GCP preferred).
Mindset: A builder’s ownership mindset with the ability to thrive in a fast-paced, early-stage environment.
Nice to have
Hands-on experience integrating LLM/AI services into web products.
Experience with message brokers like NATS, RabbitMQ, Kafka, or Google Pub/Sub.
Background in multi-tenant enterprise SaaS applications.
Familiarity with Kubernetes, cloud-native monitoring, or Python/FastAPI services.