When something goes wrong along the way, they expect us to make it right — quickly, clearly, and without friction. The Self-Serve Intelligence team, within the Safety & Customer Care org, is composed of engineers building the AI-powered systems that do exactly that: resolving rider and driver suboptimal experiences without agent involvement through AI Assist (e.g. AI Agents), automations, and self-serve workflows. We design and build backend services, APIs, and GenAI-powered products that combine robust engineering with applied AI to deliver reliable, scalable self-serve experiences.
We are looking for a highly motivated, collaborative, team-focused and technically strong Software Engineer to join our Self-Serve Intelligence team. As a member of this team, you will build the services and AI-powered products that resolve customer issues autonomously. Every day, you'll partner with machine learning engineers, product, design, data science, and operations on high-impact projects — from shipping new AI Agent capabilities, to building the evaluation pipelines that keep their quality high,



to improving the backend services underneath them. Write well-crafted, well-tested, readable, and maintainable code
Partner with senior engineers to design, build, and ship backend services and GenAI-powered products (e.g. Contribute to evaluation frameworks that measure and improve the quality of GenAI-driven customer experiences
Build and extend APIs and data models within the team's services
Partner with machine learning, product, design, data science, and operations to turn customer pain points into shipped solutions
Participate in code reviews to ensure code quality and distribute knowledge
Participate in knowledge sharing by supporting brown bags, tech talks, and championing appropriate tech and engineering best practices
Proficiency in at least one general-purpose programming language (e.g., Python, Java, Go); Python preferred
Familiarity with building or consuming APIs in a serv

📌 Software Engineer (Puerto Vallarta)
🏢 Lyft
📍 Puerto Vallarta