Staff Software Engineer (AI Fluent)

About Payoneer

Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.

By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.

Role summary

Ramat Hasharon, Herzliya.

Hybrid
Full-time

We are looking for an engineer who can take ownership of a solution from understanding the business problem through production delivery and continuous improvement.

AI-assisted development tools are a core part of how you work. You use them daily, critically, and effectively to improve the quality and speed of software delivery.

You will report to a Domain Architect and work closely with senior engineering, product, and business leaders on AI initiatives and other high-impact challenges.

You will contribute across the full lifecycle: problem definition, solution design, implementation, evaluation, deployment, monitoring, and production support.

What you’ll do

• Own the full loop - understand the problem, define the solution, architect it, ship it, monitor it. No one hands you a spec

• Build with AI as your primary tool - Claude Code, Cursor, whatever gives the most leverage; do in a day what used to take a team a week

• Co-design with stakeholders and the business - decision logic, risk thresholds, success metrics

• Build the evaluation harness before you ship - if you can’t measure it, it’s not done

• Own production from day one - monitoring, alerting, observability; you’re on call for what you build

• Raise the bar - in design reviews, in code, and in how the team works

Who you are Engineering

• At least 7 years of experience as a backend engineer

• Experience shipping production AI systems - running them in the real world and fixing what breaks, not just building them

• Understanding of agentic architectures - orchestration, multi-step workflows, fallback and error logic

• Strong eval instincts - you define metrics, build test sets, and don’t ship until you can measure

• Full-stack range - comfortable across the prompt, RAG pipeline, orchestrator, and backend