Your Mission

This isn’t a maintenance gig. You’ll design, build, and scale the backend that powers AI employees. Expect to:

• Build resilient, scalable services : Architect and implement backend systems and APIs that handle high-throughput AI requests with precision.
• Own end-to-end delivery : From design to deployment, you’ll shepherd features into production rapidly, with quality and ownership.
• Work cross-functionally : Partner with product, design, and AI teams to ensure backend decisions serve real user workflows.
• Use AI as a coworker : Directly collaborate with AI coding agents like Claude Code, leveraging them to boost your productivity and quality.
• Maintain engineering rigor : Champion testing, observability, deployment pipelines, and reliability best practices from day one.
• Drive long-term scalability : Iteratively improve architecture, manage technical debt, and optimize for scale as we grow.

What You Bring

• 3+ years of backend engineering experience in high-growth environments, preferably early-stage or Series B.
• Strong experience building scalable, data-intensive services with modern APIs and robust infrastructure.
• Proficiency with cloud-native tools - AWS ECS, Fargate, monitoring, CI/CD.
• Deep understanding of distributed systems, APIs, reliability, performance, and database systems (PostgreSQL, Redis).
• Experience with modern stacks - TypeScript/Node preferred, but equivalent backend stacks are welcome.
• Demonstrated track record of ownership - leading parts of systems independently and shipping with impact.
• Excellent communication, clarity in articulating architecture to technical and non-technical stakeholders.

What Makes This Role Stand Out

• End-to-end ownership : You’re not just doing the “ticket”; you own feature delivery. Build systems that support intelligent, autonomous AI teammates.
• Scalable, reliable systems : Backend must handle growth and complexity. High-throughput pipelines serving AI agents across many customers.
• Hands-on infrastructure work : Jump in on deployment, monitoring, tuning. You're shaping the platform that automates itself (AI agents included).
• Collaborative, multidisciplinary environment : Work closely with product, design, ops. Work alongside AI engineers and product partners to define what AI employees can do.
• Balance innovation and technical debt : Iterate quickly while maintaining system health. Ship fast but sustainably - your engine powers AI teammates in production.

Why Artisan is the Next Career-Defining Move

• You’ll be building the infrastructure that powers AI employees - an entirely new product category.
• Real equity upside and compensation aligned with high expectations and high impact.
• High-velocity environment: release often, learn fast, iterate week over week.
• Mission-driven: reshape how businesses scale by putting AI on the front lines.

Details

• Role: Engineering
• Eng type: Backend
• Job type: Full-time
• Experience: 3+ years
• Location: San Francisco