Applied AI Platform Engineer (Memory, Data, and Decision Infrastructure)

## About the role Applied AI Platform Engineer (Memory, Data, and Decision Infrastructure) ## Company Company: Civilization Labs Location: Remote (US time zones preferred) | NYC optional Reports to: CEO ## About the company Civilization Labs Most important decisions are still made with a mix of instinct, politics, incomplete evidence, and rationalization. Civilization Labs exists to change that. We're building decision-grade validation tools and systems that help teams pressure-test important choices with clarity, evidence, and explicit uncertainty, not narrative or false confidence. Our aim is simple to say and hard to build: turn consequential decisions into auditable outputs people can actually use and stand behind. The Opportunity Civilization Labs is still early enough that the right people will shape not just the product, but the standard behind it. In this role, you'll help turn our vision into something real: useful software, durable systems, and product experiences that hold up under real-world use. This is a chance to do meaningful zero-to-one work on a system designed for decisions where the cost of being wrong is high. ## Responsibilities - Architect and build core platform services on Civilization Labs' proprietary stack — the data, memory, and retrieval layers that turn messy inputs into auditable, decision-grade outputs. - Design and own our memory and knowledge systems: how evidence is stored, versioned, retrieved, and carried across the decision lifecycle, with provenance and uncertainty treated as first-class. - Apply generative AI and agentic systems to real decision-support workflows — integrating, orchestrating, and evaluating models against what actually holds up in use. - Make end-to-end architecture decisions across data stores, services, and infrastructure, and carry them from design through production. - Collaborate closely with product owners and the wider engineering organization to turn hard problems into shipped, reliable systems, refining agile stories and tasks along the way. ## Requirements - 5+ years building and operating production software platforms, backend, or distributed systems at scale. - 3+ years in systems and application architecture, with real ownership of design decisions and their tradeoffs. - Hands-on experience designing data and storage layers — relational, document, and vector/embedding stores — and the retrieval or memory systems built on top of them. - Experience integrating and evaluating AI/ML or generative-AI systems in production, or comparable applied research, innovation, and comparative analysis in fast-moving technical domains. - Comprehensive understanding of the Software Development Lifecycle (SDLC) for commercial products. - Proven experience with agile development methodologies on significant projects. ## Who you are - Strong organizational skills and keen attention to detail. - Excellent communication and collaboration skills, thriving in a team-oriented environment. - Proactive, eager to tackle technical challenges through research and hands-on experience.