Full Stack AI Engineer

You'll own products end-to-end: frontend in React, backend in Node.js, databases (SQL + NoSQL), and deployment on AWS or Azure with Docker and Kubernetes.

You'll also build AI-powered features — RAG pipelines, LLM agents, embeddings, vector search — into real products that real users depend on.

Roles and Responsibilities:

• Build full-stack applications in React + Node.js, from schema to production.
• Design data models in PostgreSQL; reach for MongoDB where it fits.
• Deploy on AWS or Azure using Docker and Kubernetes.
• Ship AI features — RAG, agents, embeddings — into live products.
• Profile, optimize, and keep p99 latency honest under real traffic.
• Review code, write docs, and help level up the team.

Requirements:

• 1+ years building production web applications.
• Strong in React and Node.js.
• PostgreSQL or any SQL — schema design, indexing, query optimization.
• MongoDB or any NoSQL database.
• AWS or Azure — deployments, IAM, CI/CD.
• Comfort with Docker; familiarity with Kubernetes.
• Solid DSA fundamentals and RESTful API design.
• Experience with Git and Agile workflows.

Bonus points:

• Shipped a non-trivial application from 0 → production (solo or as tech lead).
• Built AI applications — RAG, LLM agents, vector DBs — in a real product.
• Experience with message queues (Kafka, RabbitMQ) and caching (Redis).
• Worked on systems handling millions of records.
• Open source contributions or technical writing.

Benefits:

• Industry-standard pay, scaled to experience.
• Free lunch and snacks, daily.
• Ship to applications used by tens of thousands.
• Predictable hours (10–6, weekdays) — no weekend grind.
• Learn from engineers shipping at real scale.