Location: Austin, TX Company: Easy Pay Direct
Easy Pay Direct is a leading payment processing company specializing in high-growth industries. We help entrepreneurs, coaches, e-commerce businesses, and high-volume merchants scale without the fear of account closures or frozen funds.
Our company is built on a simple yet powerful set of values:
Persistence: We don't give up. We find a way to get it done.
Growth: We're always learning, improving, and building.
Open, Effective Communication: We say what we mean and we mean what we say.
Doing The Right Thing: Our integrity is our foundation.
We Make Things Easier: We Simplify other work by being thorough, collaborative, and efficient, delivering clear, high quality support that makes tasks easier for clients and teammates alike.
As an AI Implementation Engineer , you will own the development, deployment, and refinement of AI systems that touch every part of the organization. Your focus will be on testing, building, and scaling agentic automations , designing custom tools, and integrating AI into existing workflows to unlock efficiency and growth. This role requires both technical depth and the ability to translate business challenges into effective AI-driven solutions.
Research, test, and deploy AI-driven solutions that improve efficiency across the entire company , not just individual departments.
Build and refine agentic automation frameworks that can learn, adapt, and scale with business needs.
Prototype AI-powered applications (with tools like Replit, Lovable, or custom code) were useful to solve high-value problems.
Integrate AI into critical business processes — from operations to finance to customer success.
Continuously monitor and improve automations to ensure reliability, scalability, and measurable impact.
Document systems and create best-practice guides to make AI adoption easier for non-technical users.
Collaborate directly with leadership to identify new opportunities for AI to enhance decision-making and streamline operations.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
2-3 years of professional experience working in software development, data science, or a related technology role.
Proficiency in Python, JavaScript, or another scripting language, with a strong portfolio of projects or professional work.
Demonstrated experience in AI/ML, automation, or SaaS development through past projects or job responsibilities.
Proven ability to build and deploy solutions using no-code/low-code platforms (e.g., n8n, Zapier, Make).
Practical experience in driving business efficiency through the strategic implementation of AI and automation.
Strong problem-solving skills with a track record of tackling complex technical challenges and delivering effective solutions.
A proactive, self-motivated approach to taking ownership of projects from conception to completion.
Prior experience using AI APIs (OpenAI, Anthropic, etc.).
Knowledge of webhooks, APIs, or workflow automation.
Experience with cloud platforms or GitHub.
Experience in Payments, Merchant Services, Banking, or Financial Services.
Lead the development and deployment of innovative AI products and automation tools that directly impact our business.
Play a key role in a fast-paced, high-growth business environment, with a direct impact on our strategic initiatives.
Collaborate closely with senior leaders and cross-functional teams to solve complex problems and drive business outcomes.
Build a professional portfolio of high-impact, scalable projects that can significantly enhance your career trajectory.