Senior AI Engineer – LLM & Production Systems

Xtillion; San Juan (PR); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off

401(k) plan

Job summary

Xtillion, a San Juan-based AI solutions firm, seeks a Senior AI Engineer to design, build, and deploy intelligent systems that solve real business problems. You’ll work on LLM-powered apps, retrieval pipelines, predictive models, and data-driven automation in client environments.

Ideal candidates bring software engineering, data science, or ML engineering backgrounds and a passion for translating complex challenges into scalable, reliable AI-native systems with measurable outcomes.

Qualifications

• Bachelors in CS/Software Eng/Data Science or related field.
• 4+ years in software engineering, data science, or ML engineering.
• Experience building AI-enabled or data-intensive production systems.
• Proficient with modern backend/data frameworks (FastAPI, Node.js) and SQL.
• Cloud experience (AWS/Azure/GCP) and CI/CD familiarity.
• Strong English written and verbal communication.

Responsibilities

• Partner with clients to translate problems into AI solutions with clear success metrics.
• Design, build, deploy AI-enabled apps, services, and workflows including LLMs.
• Develop APIs, data pipelines, and backend services powering AI systems.
• Lead model evaluation, prompt engineering, data prep, and testing for quality.
• Contribute to deployment workflows in cloud environments and infra.
• Mentor teammates and improve engineering practices.

Skills

4+ years experience

AI-enabled systems

English communication

SQL & analytical data

Cloud environments

CI/CD workflows

LLM/prompt engineering

PyTorch/TensorFlow/HuggingFace

Education

Bachelor’s degree in CS/Software Eng/Data Science

Tools

FastAPI

Node.js

Docker

Kubernetes

Terraform

Job description

Xtillion, a San Juan-based AI solutions firm, seeks a Senior AI Engineer to design, build, and deploy intelligent systems that solve real business problems. You’ll work on LLM-powered apps, retrieval pipelines, predictive models, and data-driven automation in client environments.

Ideal candidates bring software engineering, data science, or ML engineering backgrounds and a passion for translating complex challenges into scalable, reliable AI-native systems with measurable outcomes.