Engineering Manager (AI)
Core
Lead and grow the team building AI agents for financial compliance (KYB, KYC, AML, sanctions screening) while hands-on designing agent architectures and debugging evals.
Role type
Engineering Manager (AI Agents)
Builds
AI agents for compliance teams
Domain
Financial services compliance (KYC/KYB/AML) + LLM agent engineering
Deliverable
production ML models
Required skills
People leadership (hiring, performance reviews), Python or TypeScript backend engineering, LLM agent architecture design, tool/function-calling interfaces, agent memory implementation, eval stack design, model API selection (Anthropic/OpenAI)
Preferred skills
Fintech/regtech domain experience, Document AI (OCR/extraction), LLM observability tools, open-source agent contributions
Technologies
Python, TypeScript, Anthropic, OpenAI
Responsibilities
Manage a team of 5-6 AI and backend engineers, design and review compliance agents, build reusable skills and memory for agents, own the eval stack (golden datasets, regression tests, production monitoring), write and review code ~50% of the time
Seniority
Manager, hands-on IC