AI Engineer

Since 1996, epay, a business segment of Euronet, has been at the center of connecting local and global brands to consumers. Our capabilities, platforms, products, and solutions cater to the changing consumer demand for content and payments in categories such as mobile, gaming, and entertainment.

We are looking for a pure technical builder‑someone who thrives in a fast‑moving environment and wants to get their hands in the latest AI technology. We’re seeking an AI Engineer with a deep, practical understanding of modern AI. You will be writing code, experimenting with new models, and building production‑grade AI agents. This is a hybrid role located in Leawood, KS.

• Build & Deploy:
  Architect and code end‑to‑end AI applications. Move beyond simple API calls to build robust systems using RAG (Retrieval‑Augmented Generation), vector databases, and agentic workflows.
• Engineer AI Agents:
  Develop autonomous agents capable of complex reasoning, tool use, and decision‑making to automate varied business workflows.
• Optimize & Fine‑Tune:
  Experiment with prompt engineering strategies, context window management, and model fine‑tuning to maximize performance and accuracy.
• Bridge the Gap:
  Translate “raw AI” capabilities into reliable software features. Work with APIs (Flask/FastAPI), databases, and backend logic to integrate AI models into real‑world products.
• Foster Expertise:
  Act as a technical beacon for AI within the company, upskilling the engineering team by demonstrating best practices and sharing knowledge on the latest AI advancements.

• Concrete
  
  Experience:
  
  Build production AI applications.
• Complexity Management:
  Manage high levels of complexity.
• Strong Code:
  Proficient in Python and AI frameworks. Comfortable writing production‑ready code, managing dependencies, building REST APIs (Flask/FastAPI).
• LLM Native:
  Hands‑on experience with the modern AI stack, including tools like Lang Chain and the OpenAI/Anthropic APIs.
• Applied AI
  
  Skills:
  
  Full‑spectrum understanding of AI, comfortable with feature engineering and classic machine learning models (regression, classification, clustering). Knowledge of LLM training and fine‑tuning.
• Development Background:
  Proficiency with git, docker, experience with cloud compute.
• Background in traditional software engineering is a bonus.
• Local Presence:
  Willingness to commute to our Leawood, KS office.

• 401(k) Plan
• Health/Dental/Vision Insurance
• Employee Stock Purchase Plan
• Company‑paid Life Insurance
• Company‑paid disability insurance
• Tuition Reimbursement
• Paid Time Off
• Paid Volunteer Days
• Paid Holidays
• Casual Office Attire
• Plus many more employee perks & incentives!

We are an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Leawood, KS

Mid‑Senior level

Full‑time

Engineering and Information Technology