Applied AI Lead at Coinflow

About Coinflow Coinflow is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide. Since our seed round in 2024, we’ve achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, Coinflow announced a $25M Series A in October 2025—led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures—accelerating our mission to power the world’s fastest-moving businesses with innovative, reliable global payments. Coinflow is proudly headquartered in Chicago, IL. Learn more at coinflow.cash . Role Overview Coinflow is looking for an Applied AI Lead to identify, build, and scale the company’s highest-impact AI implementations. This is a hands-on engineering and operator role for someone who can find the best AI opportunities across the business, turn them into a clear roadmap, and ship production-grade systems that drive measurable business outcomes. You’ll work across Compliance, Risk, Support, Finance, GTM, Product, and Engineering to turn messy workflows into reliable internal tools, copilots, and decision-support systems. The right person combines deep applied AI fluency with strong product sense and operational judgment. You should be comfortable mapping complex workflows, building quickly in production, and deciding where AI creates real leverage versus where a conventional system is better. Key Responsibilities Identify, prioritize, and own the highest-value AI opportunities across the Coinflow organization, including Compliance, Risk, Support, Finance, GTM, and Product Build and ship internal AI tools, copilots, and workflow automations that reduce cycle time, improve quality, and increase team throughput Own projects end-to-end from workflow mapping and architecture through implementation, rollout, measurement, and iteration Build the core applied AI infrastructure needed to support production use cases, including retrieval pipelines, tool integrations, and internal data access patterns Establish strong quality, governance, and safety standards for AI in regulated workflows, including evaluation, human oversight, auditability, and privacy-conscious deployment Drive adoption through documentation, training, and close partnership with business teams so systems become part of daily operations Required Qualifications 4+ years of software engineering experience shipping production systems end-to-end Hands-on experience building and deploying applied AI systems in production, including workflow automation, retrieval-based systems, and agentic patterns Strong fluency with mode