• Designing and shipping the first version of our fleet operations product • Owning the work end-to-end: APIs, UI, deployment, monitoring, the on-call rotation • Actually using AI tools as your main way of working. Not just code completion. Architecture exploration, testing, debugging, writing docs, all of it • Being open about what works and what doesn't, so the rest of the team can learn from what you're finding • Working closely with your PM, with customer outcomes in front of every decision

• Drive the design and implementation of new features, break down complex problems into their bare essentials, translate this complexity into elegant design, and create high-quality, maintainable code • Make a meaningful impact on the lives of our community members • Create and maintain test automation to enable continuous integration and development velocity • Design and deliver robust microservices integrations via REST/gRPC APIs and via messaging patterns (events/queues) • Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews • Work cross-functionally with other teams, including data science, design, product, marketing, and analytics • Debug production issues across our services infrastructure and multiple levels of our stack • Work with distributed systems and services, and care passionately about producing high-quality code

• Design, build, and own core components of the agent platform, from the orchestration layer to the tool integrations connecting it to internal systems. • Build and evolve the capabilities layer: APIs, data access patterns, and service integrations for agents to execute operational workflows. • Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems. • Design and implement the trust and safety framework, including audit trails, human-in-the-loop controls, and guardrails for safe and auditable AI-driven operations. • Contribute to agent evaluation and testing infrastructure, defining how we measure accuracy, reliability, and regression across agent behaviors. • Partner directly with Operations to understand workflows, identify automation opportunities, and translate process knowledge into agent capabilities. • Mentor other engineers on the team as it grows.

• Design, build, and own core components of the agent platform, from the orchestration layer to the tool integrations connecting it to internal systems. • Build and evolve the capabilities layer: APIs, data access patterns, and service integrations for agents to execute operational workflows. • Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems. • Design and implement the trust and safety framework, including audit trails, human-in-the-loop controls, and guardrails for safe and auditable AI-driven operations. • Contribute to agent evaluation and testing infrastructure, defining how we measure accuracy, reliability, and regression across agent behaviors. • Partner directly with Operations to understand workflows, identify automation opportunities, and translate process knowledge into agent capabilities. • Mentor other engineers on the team as it grows.