Software Engineer; Backend
Listed on 2026-02-16
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Software Development
AI Engineer, Cloud Engineer - Software
Location: New York
Join to apply for the Software Engineer (Backend) role at Artisan
Base pay range$/yr - $/yr
At Artisan, we’re building real AI employees - not copilots, not assistants, but autonomous teammates. Our first, Ava, is an AI BDR. She finds and researches leads, writes emails in customers’ tone of voice, runs outbound sequences, self-optimizes, and manages email deliverability infrastructure. She learns, adapts, and improves over time - just like a human would. Human team members use Artisan as their primary working platform, replacing a sprawling stack of sales tools, and have Artisans working alongside them.
We went through Y Combinator (W24) and have raised $35M+ from top investors. We’re at $7M+ ARR, with hundreds of customers including Remote, Quora, and Sum Up. We’re currently working on Ava 2.0, pushing the boundaries of what an AI employee can do. And we're hiring.
- 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.
- 2+ 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 - containers, orchestration (e.g., Kubernetes), monitoring, CI/CD.
- Deep understanding of distributed systems, APIs, reliability, performance, and database systems (SQL + No
SQL). - Experience with modern stacks - Type Script/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.
- 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.
- 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.
- Role:
Engineering - Eng type:
Backend - Job type:
Full-time - Experience:
2+ years - Location:
San Francisco or NYC (in-person) - Remote:
In rare circumstances - US visas:
Will sponsor
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