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.
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