Senior Software Engineer, Self-Serve Intelligence

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p> <p>Every day, millions of riders and drivers depend on Lyft — and when something goes wrong, we want to make it right as fast as possible. The Self-Serve Intelligence team within Safety &amp; Customer Care org is building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through intelligent solutions in AI Assist (e.g. AI Agents), automations, and self-serve workflows. We're building backend systems, APIs, and AI-powered products that fundamentally rethink how customers get help — combining robust engineering with GenAI to deliver reliable, scalable self-serve experiences.</p> <p>As a Senior Software Engineer on the Self-Serve Intelligence team, you will design, build, ship, and maintain backend services and AI-powered products (e.g. various AI Agents) that autonomously resolve customer suboptimal experiences. You'll own the full lifecycle — from system design and prototyping through production deployment and operational excellence — partnering with product, design, data science, and operations to deliver high-quality, reliable solutions at scale.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Design, build, ship, and maintain scalable backend services and GenAI-powered products (e.g. AI Agents) that resolve rider and driver suboptimal experiences autonomously</li> <li>Develop robust evaluation frameworks to measure and improve the quality and impact of GenAI-driven customer experiences</li> <li>Lead projects from idea to production, owning end-to-end system design, implementation, and operational health</li> <li>Write well-crafted, well-tested, readable, maintainable code</li> <li>Design and evolve APIs, data models, and service architectures that support rapid product iteration</li> <li>Rapidly adopt and integrate emerging AI capabilities to accelerate development velocity across the team</li> <li>Incorporate considerations for edge cases, failure modes, and business context into system design</li> <li>Participate in code and architecture reviews to ensure quality and distribute knowledge</li> <li>Own system reliability — monitor, debug, and improve service health, latency, and availability</li> <li>Proactively participate in resolving ongoing incidents</li> <li>Unblock, support, and effectively communicate across teams to achieve results</li> <li>Share your knowledge by giving brown bags, tech talks, and evangelizing engineering and AI best practices</li> </ul> <p><strong>Experience:</strong></p> <ul> <li>5+ years of software engineer