Senior AI Prompt Engineer – Digital & AI Team

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.

We are looking for a Senior AI Prompt Engineer who will own the design development and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts system instructions guardrails and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role you will operate at the intersection of language logic and AI behavior shaping how our agents reason respond escalate and self-correct. As part of the Digital & AI team you will collaborate closely with Product Engineering AI/ML Analysts CX Operations and Localization teams to deliver intelligent scalable and trustworthy conversational solutions.

What youll do:

• Design write and optimize AI-driven conversational experiences including system prompts guardrails tool-use instructions and multi-turn flows across chatbot and email-automation channels.
• Engineer and maintain reusable prompt frameworks templates and conversation patterns that ensure consistency in tone safety domain accuracy and localization across markets on multiple channels such as AI Chat Ai email bot AI Voice bot.
• Define and refine AI Agent behavior across user scenarios edge cases error states escalation paths and regulatory/compliance requirements.
• Own end-to-end conversational journeys from problem discovery and use-case research through design prompt engineering testing deployment and iterative optimization.
• Build and maintain prompt evaluation pipelines designing test cases scoring rubrics and regression tests to systematically measure prompt quality hallucination rates and task-completion accuracy.
• Monitor analyze and improve AI Agent performance using analytics dashboards QA outputs hallucination findings user feedback and operational metrics; translate insights into concrete prompt improvements.
• Collaborate cross-functional with Product Engineering AI/ML CX and Operations teams to identify high-impact use cases define agent capabilities and deliver scalable solutions.
• Contribute to internal prompt engineering guidelines conversational design systems and AI best practices helping establish Payoneers standards for responsible effective AI Agent deployment.
• Stay current with advancements in LLMs agentic AI patterns prompt optimization strategies and conversational AI tooling; bring relevant innovations into the teams workflow.

Who you are:

• 34 years of hands-on experience working with Large Language Models (LLMs) including prompt engineering system prompt design and LLM-based application development (e.g. OpenAI Azure OpenAI Anthropic Claude Google Gemini).
• English proficiency Mandatory (native or near-native written English; this role is language-critical).
• Proven experience designing deploying and optimizing AI-powered conversational experiences (chatbots AI agents email automation Voice bot or virtual assistants).
• Coding/scripting experience (Python JavaScript) for prototyping automation or prompt testing.
• Experience with AI Agent architectures and concepts tool use function calling RAG multi-step reasoning guardrails and escalation logic.
• Strong analytical skills comfortable working with conversation analytics A/B testing prompt variants and using data to drive design decisions.
• Experience designing for multilingual and multicultural audiences.
• Ability to collaborate with developers and data teams to implement test and iterate on AI flows.
• Familiarity with version control practices for prompt management and documentation.
• Excellent stakeholder management able to align multiple teams around conversational strategy and priorities.

Advantages:

• Experience with conversational AI platforms (e.g. Zowie ai Ada Cognity).
• Knowledge of SQL or analytics/BI tools for performance analysis.
• Background in customer service contact center or fintech environments.
• Experience with UX writing content design or conversation design as a discipline.
• Familiarity with AI safety responsible AI frameworks and compliance considerations in regulated industries.
• Understanding customer journey mapping and service design methodologies.
• Experience with Figma or similar design tools for flow visualization.

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