Artificial Intelligence Engineer

Role OverviewWe’re hiring an early AI engineer to build systems that make high-stakes decisions, learn from real-world outcomes, and improve continuously.The product is already live with strong data flow and user activity. Your job is to build the intelligence layer on top — turning that data into systems that get better over time.You’ll own AI end-to-end: defining what to build, designing learning systems, and shipping production code. No predefined roadmap — you’ll work directly with the founder to shape the direction.Focus AreasClosed-loop learning systems (RL, recommendation, ranking)Autonomous agents and workflow automationModel infrastructure, inference, and data pipelinesWhat You’ll DoBuild systems where decisions → outcomes → automatic improvementDevelop recommendation / decisioning systems that learn from real-world feedbackDesign evaluation frameworks and simulationsFine-tune and deploy models using proprietary dataBuild agents that automate complex workflowsOwn everything from data → model → productionRequirementsProven experience building closed-loop systems in production (non-negotiable)Background in RL, recommendation systems, or adaptive learning systemsStrong end-to-end ownership (data, models, deployment)Proficient in Python + modern AI stack (LLMs, embeddings, etc.)Comfortable in fast-moving, ambiguous environmentsIdeal BackgroundBuilt AI systems that improved from real user or system feedbackEarly-stage or product-focused experienceExperience with sequential decision-making (e.g., marketplaces, robotics, optimization)