Software Engineer, Applied AI

United States·LeawoodFull-timemid

Software EngineerSoftware Engineering

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Quick Summary

Overview

epay North America, a Euronet Worldwide companyLeawood, KS | Hybrid epay, a business segment of Euronet Worldwide is hiring a Software Engineer, Applied AI to build and deploy AI agents, tools,

Technical Tools

Software EngineerSoftware Engineering

Responsibilities

~1 min read

→Work alongside engineering and business teams to identify where AI can make a measurable difference, then design, build, and deploy solutions.
→Build single- and multi-agent systems that use tools, retrieve relevant information, maintain context and memory, and bring in human review where needed.
→Test new models, agent frameworks, coding agents, and protocols. Share what the experiments show and turn successful approaches into reusable templates and testing tools.
→Build evaluations, monitoring, and guardrails to make agents reliable in production. Design for the access controls, audit trails, and data handling requirements of a regulated payments business.
→Pair with engineers on AI-assisted development and help business teams use agents in their day-to-day work.
→Step into urgent, high-priority projects when needed and help deliver them.

Requirements

~1 min read

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.
The ability to learn new technology quickly, test it against real problems, and make sound engineering decisions based on the results.
The ability to understand how nontechnical colleagues work and explain technical trade-offs clearly.
Comfort owning a problem from discovery through deployment, even when the requirements are still taking shape.

Nice to Have

~1 min read

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