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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 quickly based on feedback.
- Follow secure development practices, including proper handling of sensitive data, dependency management, and adherence to access control and data protection policies
- Identify, remediate, and support resolution of security and reliability issues (e.g., through static testing, dependency updates, code reviews, and monitoring)
- Contribute to system reliability and availability by maintaining high-quality code, participating in incident response, and supporting production operations as needed
Who You Are
- Strong experience with Python or Node.js on the backend and React + TypeScript on the frontend.
- Solid understanding of web architecture, APIs, databases, and cloud infrastructure (AWS/GCP/Azure).
- Proven ability to deliver production-grade systems that scale and perform.
- Product-minded engineer — you think about usability, DX, and customer value, not just code.
- Comfortable in high-velocity startup environments with deep ownership and cross-functional collaboration.
- Bonus: familiarity with data engineering, pipelines, or AI/ML infrastructure.
Why Join Mage AI
- Build the backbone of an AI-native data platform redefining how companies deploy AI.
- Direct access to founders and product leadership — fast decisions, zero bureaucracy.
- Massive surface area — touch everything from orchestration and automation to user interfaces.
- Ship weekly and see your work impact thousands of developers and enterprises.
- Competitive salary, meaningful equity, and full benefits.
Core Virtues
Values are what we believe;
virtues are how we act:
- Victorious as a team
- Give people power-ups
- Think bold and lead the charge
- Deliver magical experiences
- Create compounding forces
- Level up stats
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