Staff Applied AI Engineer - Backend
Core
Build production AI systems and agentic workflows for Anti-Financial Crime teams to automate investigation workflows and reduce lead time.
Role type
Staff Applied AI Engineer (Backend)
Builds
Agentic tools, AI-powered workflows, backend services, APIs, and databases for financial crime compliance automation.
Domain
Financial Services / Anti-Financial Crime Compliance
Deliverable
production ML models
Required skills
Production AI system design, agentic workflow orchestration, backend system architecture, API design, database management, observability, failure handling, stakeholder management, product thinking, end-to-end ownership.
Preferred skills
Fintech domain knowledge, compliance workflow experience, Python, model provider familiarity, agent frameworks. (via careerplan.io/jobs/dc3bb55e-daf0-4d4c-b839-b65e43fd412c-staff-applied-ai-engineer-backend-at-qonto)
Technologies
Python, internal tools, model providers, agent frameworks.
Responsibilities
Design and ship agentic tools that orchestrate models and tools; lead discovery and architectural decisions for AI solutions; build reliable backend foundations around AI models; define evaluation approaches and monitor output quality; reduce investigation lead time through automation; lead design discussions to raise team capability in production agentic systems.
Seniority
Staff, hands-on IC with strategic influence
