Lead AI Engineer (LLM & Agents)

📋 Description Design, build, and maintain multi-turn conversation systems, including context management, tool Define success criteria with Product, Design, and QA leads. Turn production failures into evaluation samples and regression tests. Measure the impact and side effects of every change before and after release. Isolate the root cause of failures: model judgment, knowledge gaps, abnormal tool responses Apply the right fix for each cause rather than defaulting to prompt tweaks. 🎯 Requirements Production LLM/Agent experience at scale: built LLM or Agent features used by 10,000+ active users Strong backend engineering fundamentals: comfortable owning production code, APIs, data flows, and Real evaluation discipline: built evaluation sets, regression suites, and production monitoring Ownership mindset: make decisions, surface risks early, and don't consider a feature done until Web3 experience: preferably 1 year of experience in a crypto, DeFi, or Web3 company (wallet 🎁 Benefits Be a part of the world’s leading blockchain ecosystem that continues to grow. Excellent learning and career development opportunities. Work alongside diverse, world-class talent, in an environment where learning and growth Tackle fast-paced, challenging and unique projects. Work in a truly global organization, with international teams and a flat organizational structure. Work fully remotely with flexible working hours.