Senior 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 worlds underserved businesses to a rising global economy. Were a community with over 2500 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 workflowsincluding everything from global payments and compliance to multi-currency and workforce management to providing working capital and business intelligencewe give businesses the tools they need to work efficiently worldwide and grow with confidence.

Rolesummary

RamatHasharonHerzliya.

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.

Whatyoulldo

• Own the full loop - understand the problem define the solution architect it ship itmonitorit. 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 withstakeholdersand the business - decision logic risk thresholds success metrics

• Build the evaluation harness before you ship - if youcantmeasure ititsnot done

• Own production from day one - monitoring alerting observability;youreon 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 anddontship until you can measure

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

• Comfortable across any stack - you go where the right solution is

• Honest communication - you flag problems early and give direct candid feedback

• You understand production concerns such as reliability maintainability security observability latency and cost.

AI fluency

• Real fluency with AI coding tools - genuinely fast not just familiar with

• Think in workflows not endpoints - agentic loops skills and orchestrated flows; CRUD with an LLM bolted onisnta system

• Clear judgment about when to trust AI output and when to rewrite it

• Goes beyond using AI - builds skills workflows and harnesses not just prompts

• You understand common AI-system risks such as hallucinations prompt injection data leakage unreliable tool execution and uncontrolled autonomy.

Good to have

• Fintech or regulated-environment experience - understanding why probably fineisntacceptable when money is moving

What could set you apart

• Builders itch.When you see a repetitive task or a problem the team has accepted as too hard to fix you come back with a working prototype. Watching people do manually what a system could dodoesntsit right with you.

• Grounded confidence.You move forward with incomplete information make a call ownit. Whenyourewrong you update and move on - no drama no ego.

• Production instinct.When you designyourealready thinking about 2am incidents runaway inference costs and edge cases that surface when real money is moving. Probably fineisntariskposture.

• Curious and adaptive.You explore new models and tools before anyone tells youtorun the experiment and help create the best practices thatdontexist yet.

Whyjoinus

• Real problems at scale - 25M customers in 190 countries depend on these systems; the stakes are real

• You help define themethodology- early-stage work at Payoneer; youwontinherit a playbookyoullwrite it

• Work directly with senior architects engineers product leaders and business stakeholders.

• Build solutions for challenging real-world problems where reliability security and measurable outcomes matter.

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