Platform for building and governing AI-generated enterprise applications.
Software Engineer (AI Platform)
You'll spend mornings debugging why a model hallucinated inside a customer's procurement workflow, then afternoons shipping guardrails that prevent it from happening again. The core challenge here is building infrastructure that lets large language models generate actual business logic—forms, integrations, approval chains—while keeping humans firmly in control. Most of your code will be Python running on Kubernetes clusters that handle thousands of concurrent AI-generated app deployments across regulated industries.
What they're looking for
- 3+ years shipping production backend or ML infrastructure, with strong Python fundamentals
- Experience running workloads on Kubernetes in production, including debugging networking or resource contention issues
- Track record building systems where correctness and auditability matter more than raw throughput
- Comfort working in-person with a technical team in New York, with the informal collaboration that requires
- Intellectual curiosity about the gap between generative AI's potential and enterprise reality—not just tuning models, but making them usable