Mid Fullstack Engineer

Overview We're looking for a Mid Full Stack Engineer who builds end-to-end features across our Next.js frontend and Node.js backend — and uses AI tools daily to ship faster. You'll work in a modern TypeScript monorepo powering an AI-enabled platform, contributing to both the product and the AI agent infrastructure behind it. This isn't an ML research role — it's a hands-on engineering role where AI is part of your daily workflow and the product you're building. Key Responsibilities • Build and ship full-stack features end-to-end in a TypeScript/Next.js/React monorepo • Develop and maintain backend services using Node.js, Hono, and Express • Work with Prisma ORM and PostgreSQL (with pgvector) and MongoDB via Mongoose • Contribute to AI agent workflows built on Mastra and the Vercel AI SDK • Use AI coding tools (Cursor, Claude, Copilot) daily to accelerate development • Deploy and maintain services on GCP Cloud Run with Terraform • Improve observability using Datadog APM/RUM and OpenTelemetry • Collaborate with product, design, and engineering in an agile environment • Write clean, testable code and participate in code reviews Required Qualifications Engineering (2–4 years commercial experience): • Strong TypeScript and JavaScript fundamentals • Hands-on experience with React and Next.js (App Router) • Backend experience with Node.js (Express, Hono, or similar) • Working knowledge of relational databases (PostgreSQL) and an ORM (Prisma preferred) • Familiarity with REST APIs and basic cloud infrastructure concepts • Understanding of Git workflows, CI/CD pipelines, and code quality tools (ESLint, Prettier) • Comfortable working in a monorepo (Turborepo experience is a plus) AI Mindset & Tooling: • Regularly uses AI-assisted development tools (Cursor, Claude, GitHub Copilot) • Curious about LLM integrations and AI SDK patterns — willing to learn Mastra and Vercel AI SDK • Uses AI for real productivity gains, not just experimentation Product & Collaboration: • Understands the "why" behind features, not just the "how" • Comfortable working closely with product and design stakeholders • Good English communication skills (written and spoken) Nice-to-Have • Experience with Mastra or similar AI agent frameworks • Familiarity with GCP (Cloud Run, Cloud SQL, Artifact Registry) • Terraform or other IaC experience • MongoDB/Mongoose experience • Tailwind CSS and Radix UI / shadcn component libraries • Experience with Clerk authentication • Exposure to observability stacks (Datadog, Langfuse, OpenTelemetry) • Familiarity with Docker and containerized deployments