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Computer Science Jobs in Puerto Rico (NOW HIRING)

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 ...

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field. * 5-10 years of IT experience, including 3+ years of hands-on GCP experience. * Strong expertise in GCP ...

Desktop Technician

San Juan, PR Ā· On-site

$19.50 - $25/hr

Required : • Bachelor's degree in information technology, Computer Science, Electronics, or a related field • 1-3 years of experience in desktop support or IT helpdesk environment • Strong ...

Senior AI Engineer

Aguadilla, PR Ā· On-site

$68.88 - $75.77/hr

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field Nice to Have * Experience in regulated industries (pharma, healthcare, life sciences) * Exposure to knowledge ...

Process Development Scientist

Juncos, PR Ā· On-site

$80 - $110/hr

Understanding of protein science, formulation and filling processes.* Experience with process ... Computer literacy (Windows environment: Word, Excel, Power Point).Skills requiring the application ...

Application Developer

San Juan, PR Ā· On-site

$50 - $70/hr

Bachelor's degree in Software Engineering, Computer Science, or a related technical discipline. Requirements * Core Concepts: A clear understanding of RESTful APIs, relational/non-relational ...

Analytics Engineering Intern

Caguas, PR Ā· On-site

$16.25 - $21.25/hr

Currently pursuing a Bachelor's degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

Understanding of protein science, formulation and filling processes. * Experience with process ... Computer literacy (Windows environment: Word, Excel, Power Point).Skills requiring the application ...

Computer literacy (Windows environment: Word, Excel, Power Point).Skills requiring the application of scientific theory. * Creative skills in the design and performance of scientific experiments and ...

Linguist III

PR Ā· Remote

... Computer Science with a specialization in NLP is not an appropriate substitution Must have a very firm grasp of the following linguistic fields: language typology, syntax, morphology ...

Showing results 21-40

Computer Science information

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

What are the most commonly searched types of Computer Science jobs in Puerto Rico?

The most popular types of Computer Science jobs in Puerto Rico are:

What are popular job titles related to Computer Science jobs in Puerto Rico?

For Computer Science jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Computer Science jobs in Puerto Rico look for?

The top searched job categories for Computer Science jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Computer Science jobs?

Cities in Puerto Rico with the most Computer Science job openings:

Infographic showing various Computer Science job openings in Puerto Rico as of August 2026, with employment types broken down into 3% Internship, 94% Full Time, and 3% Temporary. Highlights an 87% In-person, and 13% Remote job distribution.

AI Native Engineer - Senior Associate

Xtillion

San Juan, PR

$102K - $140K/yr

Full-time

Posted 9 days ago


Job description

About the RoleĀ 

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.

WhatĀ You'llĀ DoĀ 

  • 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

WhatĀ We'reĀ Looking ForĀ 

Required QualificationsĀ 

  • 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 QualificationsĀ 

  • 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)