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Roamly Labs - AI Engineer

officeAustin, USScore undefined/1005d ago
Stack
embeddingsllmvector database
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Description
About Roamly Labs & The Outdoorsy Group At the Outdoorsy Group, we’ve already revolutionized how people experience the open road. Now, at Roamly Labs [link] . The Labs is our dedicated innovation and incubation arm—we are building the next generation of intelligent infrastructure for the future of travel, mobility, and protection. Roamly Labs is where cutting-edge technology meets real-world application. We don’t just experiment with AI; we build production-ready, AI-native systems that solve massive, complex challenges across embedded insurance, autonomous mobility, and real-time telemetry. If you want to move fast, break paradigms, and build the future of the outdoor and mobility ecosystems, you belong here. The Role: AI Engineer (AI-Native Builder) We are seeking an extraordinary AI Engineer who is an AI-native builder at heart. You aren’t just a consumer of APIs; you possess a deep engineering foundation combined with a highly creative, driven DNA. In this role, you will architect, build, and deploy advanced Agentic systems that operate autonomously, reason through complex workflows, and seamlessly integrate with next-generation physical and insurance tech stacks. From building intelligent insurance agents to designing telemetry pipelines that interface with Full Self-Driving (FSD) systems, your work will directly define the technological frontier of Roamly Labs. Key Responsibilities & Deliverables Design & Deploy Agentic Systems: Build multi-agent AI architectures capable of autonomous reasoning, task planning, and executing complex workflows in real-world scenarios. Revolutionize Embedded Insurance: Develop AI-driven products through agents that power solutions we are innovating for the embedded insurance and autonomous mobility markets. Pioneer Telemetry & FSD Integration: Architect highly scalable AI systems that process real-time vehicle telemetry, working seamlessly alongside Full Self-Driving (FSD) and autonomous mobility systems. Rapid Prototyping to Production: Turn audacious ideas into functional MVPs within days, and scale them into robust, production-grade enterprise solutions. Drive an AI-Native Culture: Stay on the absolute bleeding edge of generative AI, LLMs, computer vision, and reinforcement learning, injecting an innovative mindset into every layer of our tech stack. Who You Are (Candidate Profile) The AI-Native Mindset: You think in terms of agentic workflows, embeddings, vector databases, and cog
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