AI/ML Engineer at Rulebase (F24) $100K - $200K • 0.20% - 1.00% AI agents for financial services. London, England, GB / San Francisco, CA, US Full-time US citizenship/visa not required 3+ years About Rulebase Customer conversations are the heartbeat of any service business. But as teams grow and interactions scale across channels, it becomes nearly impossible to know what's actually happening on the front lines. Quality slips. Issues go unnoticed. Customer trust erodes quietly. Rulebase gives modern support teams the visibility and confidence they’ve always needed. We’re building a real-time QA and insight platform that watches every call, chat, and email. It surfaces moments that matter, guides agents as they work, and helps teams understand and improve the customer experience as it happens. With a live intelligence engine that never misses a detail, we help companies run sharper operations and deliver better service without scaling linearly. If you care about building systems that support people doing hard, high-stakes work, and you want to work with a focused, experienced team on problems that actually matter, join us. About the role Skills: Ruby on Rails, Machine Learning, Amazon Web Services (AWS) Why you should join us We are building an autonomous factory for financial service agents, with real-time feedback loops from some of the largest financial services companies in the world, our customers. We work with structured and unstructured data at scale including calls, chats, emails, and AI agent responses to build autonomous systems that adapt, detect, and act on customer interactions in real time. Our edge is not secret datasets or brute-force compute. It is the speed at which we iterate, deploy, and learn directly from live environments. You will lead ML/AI strategy at the intersection of cutting-edge research and real-world deployment in regulated industries. What you’ll do Lead the development of reinforcement learning (RL) agents and autonomous agents designed for financial services. Build systems that automatically review 100% of customer interactions across voice, chat, email, and AI agents to flag compliance risks, fraud attempts, and operational gaps in real time. Architect autonomous workflows with built-in compliance requirements. Develop safe-guarded AI decisioning that blends automation with judgment-based escalation paths, ensuring AI is auditable, explainable, and regulator-ready. What we’re looking for Deep expertise in ML and AI, especially NLP, anomaly detection and representation learning for unstructured text and audio. Strong coding background in Ruby or Python, with experience in data pipelines, AWS or GCP infrastructure, and orchestration frameworks. Experience deploying production-ready AI agents or automation systems. You care about what works in the real world, not just what looks good on paper. Background in financial services or compliance-sensitive systems is a plus, but not required. Curiosity and rigor matter more. Clear thinker and fast builder, excited to work at the edge of autonomous agents, compliance, and execution. Our culture Hard work as a virtue – We genuinely believe in working hard. It is both a moral imperative and a requirement for building something that matters. Every customer is a king – Act accordingly. Velocity with precision - The shortest path from idea to execution, without compromising quality. Technology Python, React, Electron JS. Interview Process One sync with a co-founder Three-day in-person trial Offer stage