Values

The ad says“Familiarity with containerization, orchestration, or Infrastructure as Code technologies (e.g., Docker, Kubernetes, Terraform)”
The ad says“Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)”
The ad says“Familiarity with containerization, orchestration, or Infrastructure as Code technologies (e.g., Docker, Kubernetes, Terraform)”
The ad says“Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques”
The ad says“Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques”
The ad says“Experience with the ML lifecycle — experimentation, evaluation, monitoring, and deployment (MLOps)”
The ad says“Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques”
The ad says“Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)”
The ad says“Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques”
The ad says“Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)”
The ad says“Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)”
The ad says“Familiarity with containerization, orchestration, or Infrastructure as Code technologies (e.g., Docker, Kubernetes, Terraform)”
The ad says“Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques”

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
Experience with modern backend or data frameworks (e.g., FastAPI, Node.js)
Strong experience with SQL and relational or analytical data systems
Experience working in cloud environments (e.g., AWS, Azure, GCP)
Familiarity with Git-based version control, CI/CD pipelines, and modern development workflows
Strong written and verbal English communication skills

Preferred Qualifications

Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques
Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)
Experience with the ML lifecycle — experimentation, evaluation, monitoring, and deployment (MLOps)
Experience designing and maintaining large-scale data pipelines, analytical platforms, or data-intensive systems
Familiarity with containerization, orchestration, or Infrastructure as Code technologies (e.g., Docker, Kubernetes, Terraform)

Why Join Xtillion

At Xtillion, you’ll take ownership of meaningful, production-grade systems and work on software that is relied upon in real-world environments. You’ll join a fast-moving team where engineers influence technical direction and uphold strong engineering standards, supported by competitive compensation and meaningful opportunities for career growth.

Ready to Build What Matters?

Join Xtillion and be part of a collaborative team delivering real-world data and AI solutions at scale. If you’re excited about taking ownership of complex systems and turning AI into measurable business outcomes, we’d love to hear from you!

Learn more at https://www.xtillion.com

We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off and 401(k) plan.

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact gguerrero@xtillion.com

Xtillion is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law. Employment at Xtillion is based solely on a person's merit and qualifications.

Asks for

Values