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# Senior AI-Native Engineer

- **Company:** Payoneer Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Programming Tools, Software Engineering, Retrieval-Augmented Generation, Prompt Engineering, Backend, Build Management, Machine Learning Operations, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pthnl8rv5p

## About the Role

* 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

## Description

As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users., * 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.