Related skills
prompt engineering data pipelines observability orchestration rag pipelines📋 Description
- Own end-to-end development loop from problem to production monitoring.
- Use AI as primary development tool to ship faster.
- Collaborate with AI Pod and stakeholders to define decision logic and metrics.
- Design evaluation frameworks; measure what you ship.
- Own production readiness monitoring, alerting, and observability from day one.
- Contribute to shaping team practices, tooling, and engineering standards across the pod.
- Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.
🎯 Requirements
- 5+ years software engineering experience in production systems.
- Hands-on AI/ML in production: shipping, monitoring, iterating.
- Fluent with AI-powered development tools used daily.
- Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback handling.
- Strong evaluation instincts: metrics, test sets, validation before shipping.
- Full-stack comfort: prompt engineering, backend services, data pipelines, and infra as needed.
- Independent; lead work from problem definition to production.
- Fintech or regulated-environment experience is a plus.
🎁 Benefits
- The Payoneer Ways of Working.
- Act as our customer’s partner on the inside.
- Learn customers' needs and create what helps them go further.
- Do it. Own it.
- Being fearless and accountable in everything we do.
- Continuously improve.
- Build each other up.
- Help each other grow, as professionals.
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