AI Native Engineer

About Xtillion 

Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world environments, combining deep data expertise with a strong focus on measurable business impact. 

Based in San Juan, Puerto Rico, Xtillion partners with organizations across U.S. industries to solve complex, high-impact business problems. We invest in our people and offer opportunities to work on technically challenging, customer-facing systems that directly influence client success. 

About the Role 

We’re looking for a Senior AI Engineer to join our team. In this role, you’ll design, build, and deploy intelligent systems that solve real business problems; from LLM-powered applications and retrieval pipelines to predictive models and data-driven automation. You’ll bring together software engineering rigor and applied AI expertise to deliver production-grade solutions in client environments.

Whether your background is in software engineering, data science, machine learning engineering, or a blend of disciplines, this role is for builders who want to work at the frontier of applied AI: translating complex business challenges into scalable, reliable, AI-native systems that create measurable outcomes.

What You’ll Do 

• Partner with clients and cross-functional teams to translate business problems into AI solutions, defining scope, success metrics, and technical approach
• Design, build, and deploy AI-enabled applications, services, and workflows, including LLM-powered systems, retrieval pipelines, and intelligent automation
• Develop and maintain the APIs, backend services, and data pipelines that power scalable AI and analytical systems
• Drive model evaluation, prompt engineering, data preparation, and system testing to ensure quality, reliability, and continuous improvement
• Contribute to infrastructure and deployment workflows for AI systems in cloud environments
• Strengthen engineering culture through code reviews, architectural documentation, mentoring, and evolving team best practices

What We’re Looking For 

Required Qualifications 

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field
• 4+ years of professional experience in software engineering, data science, machine learning engineering, or a related technical discipline
• Demonstrated experience building and deploying AI-enabled or data-intensive production systems