Full-Stack Engineer
Mage
Santa Clara, CAvia LinkedIn
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Full-Stack Engineer
🔥 You’ll own core product experiences across the stack — turning Mage AI’s vision into fast, reliable, and beautiful software that powers the AI era.
We’re hiring a Full-Stack Engineer who loves building end-to-end — someone who can turn product ideas into fast, elegant, and scalable experiences from database to pixel.
You’ll work directly with the founders to expand Mage AI’s core platform — the AI-native data operating system that powers how teams build, automate, and scale AI.
If you thrive on ownership, creativity, and solving complex technical problems that deliver instant user value, this is where you’ll do your best work.
About Mage AI
Mage is the AI-native data operating system: one platform to ingest, transform, orchestrate, and stream data — with AI embedded in the control plane for generation, debugging, and self-healing. Teams move from raw data to production-ready AI systems in weeks, not months.
Why now: enterprises are consolidating fragmented stacks and racing to deploy agentic AI. Mage replaces 3–4 tools, unlocks reliability, and makes AI accessible beyond scarce data engineers to analysts and business teams.
Backed By World-class AI Builders
- Gradient Ventures (Google)
- Guillermo Rauch (Vercel)
What You’ll Do
- Build and ship product: own full features from backend logic to front-end polish across Mage AI’s unified platform.
- Architect scalable systems that power data ingestion, transformation, orchestration, and AI workflows.
- Collaborate tightly with design and product to translate user needs into high-impact functionality.
- Work across the stack — APIs, databases, React components, cloud deployments, and real-time interfaces.
- Contribute to performance and reliability: write clean, efficient code and improve system observability.
- Shape developer experience by extending Mage’s internal frameworks, CLI tools, and SDKs.
- Own quality and speed — deploy often, test rigorously, and iterate