Mid Fullstack Engineer | Remote

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:

• Strong TypeScript and JavaScript fundamentals
• Hands-on experience with React and Next.js
• Backend experience with Node.js
• 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

Nice to Have:

• Experience with Mastra or similar AI agent frameworks
• Familiarity with GCP
• 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