Cartesia
Enterprise Engineer
About this role
Cartesia is seeking an Enterprise Engineer to build production-ready agentic voice AI systems for enterprise customers. You'll architect scalable platform infrastructure, define reliability standards, and transform customer deployment patterns into reusable core capabilities that enable growth across demanding global environments.
What you'll do
- Design and deliver enterprise-grade systems including on-premises deployments and agent infrastructure
- Own platform primitives and core abstractions that Cartesia's largest customers depend on
- Convert recurring customer deployment patterns into scalable, long-term platform solutions
- Establish and maintain reliability, security, and operational standards across enterprise offerings
- Collaborate cross-functionally to translate customer needs into product improvements
- Lead the technical strategy for enterprise-scale deployments globally
What they're looking for
- Backend engineering and infrastructure design
- Go and/or Python proficiency
- Platform services and core abstraction development
- Long-term maintainability and modular architecture thinking
- Enterprise deployment (on-prem, VPCs, compliance)
- Observability, security hardening, and multi-tenancy
- Cross-functional collaboration
- Systems design at scale
Benefits
- Competitive base salary with equity package
- Fully covered medical, dental, and vision insurance
- Parental leave (9 weeks paternity, 12 weeks maternity)
- 401(k) and monthly commuter allowance
- Flexible PTO and daily meals/snacks
- In-person collaborative culture across SF, London, and Bangalore offices
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Cartesia
Cartesia builds multimodal AI models and voice AI platforms that power enterprise applications. The company is hiring for roles spanning customer support, enterprise deployments, inference infrastructure, internal developer tooling, and forward-deployed engineering to scale their AI solutions across production environments.
- Website
- cartesia.ai
Likely interview questions
- Walk us through a time you designed and shipped infrastructure or platform services that other teams built on top of. What made it maintainable and modular?
- Describe your experience with enterprise-grade deployments—specifically on-prem, VPCs, or customer-managed infrastructure. What were the key challenges?