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Payoneer, founded in 2005, is a global financial platform serving over 2,500 colleagues and customers in 190+ countries. The company simplifies cross-border business by removing friction from financial workflows—payments, compliance, multi-currency management, workforce solutions, working capital, and business intelligence.
You will join the AI Foundations organization within R&D, owning AI-driven problems end-to-end: from understanding business needs through architecture, implementation, and production monitoring. This is a new way of working at Payoneer, emphasizing speed, direct stakeholder collaboration, and defining methodology as you build it.
Key responsibilities:
- Own the full development loop: understand the business problem, define the solution, architect, build, ship, and monitor in production
- Use AI as your primary development tool to accelerate delivery
- Collaborate with team and business stakeholders to define decision logic, risk thresholds, and success metrics
- Design and build evaluation frameworks for every solution
- Own production readiness, monitoring, alerting, and observability from day one
- Contribute to shaping team practices, tooling, and engineering standards
- Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities
Required qualifications:
- 5+ years of software engineering experience building and operating production systems
- Hands-on experience with AI/ML systems in production (shipping, monitoring, iterating—not just prototyping)
- Daily fluency with AI-powered development tools
- Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling
- Strong evaluation instincts: defining metrics, building test sets, validating before shipping
- Full-stack comfort: prompt engineering, backend services, data pipelines, infrastructure
- High independence: leading work from problem definition to production without detailed specs
- Excellent communication: flagging risks early, giving direct feedback, collaborating openly
- Fintech or regulated-environment experience is advantageous
