The opportunity
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
What you'll do
Plan, execute, and own technical decisions and projects within the AI: Platform team, from design through launch and on-call.
Design and build the gateway, runtime, and evaluation services that take AI: workloads at Affirm from pilot to production, securely scaling across millions of users and their transactions.
Make AI spend attributable and governable: build the identity, quota, routing, caching, and failover controls that let teams adopt new models and tools without re-solving the same platform problems.
Partner with security, infrastructure, and product engineering teams to set: the guardrails for agentic workloads and the on-behalf-of identity model for tool access.
Create and monitor metrics for your team's systems, and own the operational: health of what you ship: monitoring, alerting, runbooks, and on-call.
Set and improve code review and design standards, and advocate for them: beyond your team through writing and tech talks.
What they're looking for
- Use AI tools and agentic workflows every day as a multiplier for your own: code, design review, and operations, and push the team on what a small AI-native team can deliver.
- Educate, mentor, and grow engineers in the team, and drive best practices around design, coding, and testing.
- You have 4+ years of experience designing, developing and launching backend: systems at scale using languages like Python or Kotlin.
- You have a track record of developing highly available distributed systems: using technologies like AWS, MySQL and Kubernetes.
