AI Engineer Senior Associate

Xtillion; San Juan (PR); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off

401(k) plan

Job summary

Xtillion is hiring an AI Engineer in San Juan, Puerto Rico, for building and deploying intelligent systems that address real business challenges. The role demands a strong mix of software engineering and AI skills, focusing on LLM-powered applications and data-driven automation.

The ideal candidate holds a relevant Bachelor’s degree and has over 4 years of experience in software engineering or data science. Xtillion offers competitive salaries and a comprehensive benefits program for full-time employees.

Qualifications

• 4+ years of relevant professional experience in software engineering or data science.
• Experience building AI-enabled applications and production systems.
• Strong written and verbal communication skills in English.

Responsibilities

• Design, build, and deploy AI-enabled applications and workflows.
• Develop and maintain APIs and backend services for AI systems.
• Contribute to deployment workflows in cloud environments.

Skills

AI-enabled application development

Software engineering

Data science

Machine learning

SQL

Cloud environments

Version control

Education

Bachelor’s degree in Computer Science or related field

Tools

FastAPI

Node.js

PyTorch

TensorFlow

Docker

Kubernetes

Job description

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.

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.

Benefits

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.

Equal Employment Opportunity

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. We are committed to providing equal employment opportunities to qualified individuals with disabilities; must contact [e-mail] for reasonable accommodation.