Artificial Intelligence Engineer

We’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 Areas Closed-loop learning systems (RL, recommendation, ranking) Autonomous agents and workflow automation Model infrastructure, inference, and data pipelines What You’ll Do Build systems where decisions → outcomes → automatic improvement Develop recommendation / decisioning systems that learn from real-world feedback Design evaluation frameworks and simulations Fine-tune and deploy models using proprietary data Build agents that automate complex workflows Own everything from data → model → production Requirements Proven experience building closed-loop systems in production (non-negotiable) Background in RL, recommendation systems, or adaptive learning systems Proficient in Python + modern AI stack (LLMs, embeddings, etc.) Comfortable in fast-moving, ambiguous environments Ideal Background Built AI systems that improved from real user or system feedback Early-stage or product-focused experience Experience with sequential decision-making (e.g., marketplaces, robotics, optimization) #J-18808-Ljbffr The Cypress Group