Staff Full-Stack Software Engineer (AI & App Experience)

About this role

• Chime is looking for an Engineering Manager to lead one of the teams building Jade, our AI-powered financial assistant, within the AI & App Experience (AAX) organization
• AAX is building the next generation of the Chime member experience, and Jade sits at the center of it: helping millions of members manage their spending, stay on top of subscriptions, and reach their financial goals through conversation that’s natural, reliable, and trustworthy
• We’re looking for a Staff Software Engineer to help design, build, and ship member-facing AI capabilities
• As a Staff engineer on the team, you’ll set the technical direction for how we build with LLMs, architecting the agent systems, evaluation frameworks, and guardrails that let us ship an AI product reliably and safely at the scale of millions of members
• You’ll stay deeply hands-on: designing new agent capabilities and conversation experiences, prototyping quickly, and shipping production code, while raising the technical bar for the engineers around you
• You pair strong engineering fundamentals with a product mindset, owning capabilities from problem definition through measurement and iteration
• The AI landscape evolves rapidly, so does Chime
• You’ll need to learn quickly, adapt to shifting priorities, and proactively identify what’s needed next, whether that’s a new financial capability, a better way to evaluate conversations, or a system to keep quality high as we scale
• If you’re excited by the unique challenges of building LLM-powered products at scale, this is the role for you
• Set the technical direction and architecture for how Chime builds with LLMs on Jade: the agent architectures, prompt strategies, and orchestration patterns that shape how Jade reasons and acts, and that other engineers build on
• Design, build, and scale new member-facing capabilities for Jade, from prototype through production, moving fluidly between product discovery and hands-on engineering
• Build the eval frameworks, observa...