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About the role
AI/ML Engineer at Rulebase
Required Skills
pythonrubyawsgcpnlpreinforcement learningautonomous agentscompliance systemsdata pipelines
About the Role
Lead AI/ML strategy and development of reinforcement learning agents and autonomous systems for financial services. Build real-time systems that review 100% of customer interactions to flag compliance risks and fraud. Architect autonomous workflows with compliance safeguards and deploy production-ready AI agents.Key Responsibilities
- Lead development of reinforcement learning (RL) agents and autonomous agents for financial services
- Build systems that automatically review 100% of customer interactions across voice, chat, email, and AI agents
- Flag compliance risks, fraud attempts, and operational gaps in real time
- Architect autonomous workflows with built-in compliance requirements
- Develop safe-guarded AI decisioning with auditable, explainable, and regulator-ready systems
Required Skills & Qualifications
Must Have:
- 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
- Experience with data pipelines, AWS or GCP infrastructure, and orchestration frameworks
- Experience deploying production-ready AI agents or automation systems
Nice to Have:
- Background in financial services or compliance-sensitive systems
- Curiosity and rigor in approach
- Clear thinker and fast builder excited to work at edge of autonomous agents, compliance, and execution