Senior AI-Native Engineer - Payoneer

Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production Use AI as your primary development tool, achieving in a day what used to take a team a week Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics Design and build evaluation frameworks as part of every solution you don't ship what you can't measure Own production readiness monitoring, alerting, and observability go in on 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. 5+ years of software engineering experience, building and operating production systems Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating Genuine fluency with AI-powered development tools you use them daily to move faster Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling Strong evaluation instincts you define metrics, build test sets, and validate before shipping Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed High degree of independence you lead work from problem definition to production without waiting for detailed specs Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage

Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production Use AI as your primary development tool, achieving in a day what used to take a team a week Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics Design and build evaluation frameworks as part of every solution you don't ship what you can't measure Own production readiness monitoring, alerting, and observability go in on 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.

Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production Use AI as your primary development tool, achieving in a day what used to take a team a week Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics Design and build evaluation frameworks as part of every solution you don't ship what you can't measure Own production readiness monitoring, alerting, and observability go in on 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. 5+ years of software engineering experience, building and operating production systems Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating Genuine fluency with AI-powered development tools you use them daily to move faster Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling Strong evaluation instincts you define metrics, build test sets, and validate before shipping Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed High degree of independence you lead work from problem definition to production without waiting for detailed specs Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage