AI Engineer Senior Associate

About the role

We're looking for an 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.

Responsibilities

• 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

Requirements

• 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
• 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
• 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.
• 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 i

Benefits

Additional Information

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.

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