Software Engineer, Applied AI

Euronet Worldwide, Inc.•Leawood, KS

2h•Hybrid

About The Position

epay North America, a business segment of Euronet Worldwide, is hiring a Software Engineer, Applied AI to build and deploy AI agents, tools, and automations that improve how teams work and help shape the company’s products. The role works directly with engineering and business teams, including Finance, to understand workflows, identify inefficiencies, and develop dependable solutions. The position reports to the Director and Principal Architect at epay North America. As one of a small number of engineers focused on AI, the engineer will work directly with senior leadership and have autonomy to select problems and deliver solutions through production.

Requirements

Hands-on experience building and deploying AI agents, LLM-powered tools, or workflow automation that people rely on.
Strong Python or TypeScript skills and working knowledge of APIs, data stores, and cloud deployment.
Fluency with current AI development tools, including daily use of coding agents, and the ability to reason through and debug problems independently.
Ability to learn new technology quickly, test it against real problems, and make sound engineering decisions based on results.
Ability to understand how nontechnical colleagues work and explain technical trade-offs clearly.
Comfort owning a problem from discovery through deployment, even when requirements are still taking shape.

Nice To Haves

Experience with multi-agent orchestration, evaluation frameworks, or protocols such as the Model Context Protocol (MCP).
Payments, fintech, or other regulated-industry experience involving compliance, security, or audit requirements.
Forward-deployed engineering, solutions engineering, or internal tools development experience.
Public examples of work, such as open-source projects, technical writing, or demos.

Responsibilities

Work with engineering and business teams to identify opportunities for AI and design, build, and deploy solutions.
Build single- and multi-agent systems that use tools, retrieve relevant information, maintain context and memory, and incorporate human review where needed.
Test models, agent frameworks, coding agents, and protocols; share experiment results and turn successful approaches into reusable templates and testing tools.
Build evaluations, monitoring, and guardrails to support reliable production agents, accounting for access controls, audit trails, and data-handling requirements in a regulated payments business.
Pair with engineers on AI-assisted development and help business teams use agents in their day-to-day work.
Help deliver urgent, high-priority projects when needed.