Artisan is building real AI employees, not just copilots or assistants. The company's first AI employee, Ava, functions as an AI BDR, handling lead generation, email composition, outbound sequences, self-optimization, and email deliverability. Human team members utilize Artisan as their primary working platform, replacing a suite of sales tools and working alongside AI employees. The company is seeking to scale its backend infrastructure to support the development and deployment of Ava 2.0, pushing the boundaries of AI employee capabilities.
Requirements
- Strong experience building scalable, data-intensive services with modern APIs and robust infrastructure.
- Proficiency with cloud-native tools - containers, orchestration (e.g., Kubernetes), monitoring, CI/CD.
- Deep understanding of distributed systems, APIs, reliability, performance, and database systems (SQL + NoSQL).
- Experience with modern stacks - TypeScript/Node preferred, but equivalent backend stacks are welcome.
- Hands-on infrastructure work: Jump in on deployment, monitoring, tuning.
- Backend must handle growth and complexity. High-throughput pipelines serving AI agents across many customers.
- Iterate quickly while maintaining system health.
Responsibilities
- 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.
- Build systems that support intelligent, autonomous AI teammates.
Other
- 2+ years of backend engineering experience in high-growth environments, preferably early-stage or Series B.
- 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.
- Work closely with product, design, ops.
- Work alongside AI engineers and product partners to define what AI employees can do.
