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