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Full Stack Ai Engineer Jobs in Puerto Rico (NOW HIRING)

We are seeking for a FullStack Engineer who can be solid individual contributor and can design and ... Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security ...

... full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential ...

... full-stack applications, or integrating AI into software products What Sets You Apart - Master's Degree in Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Data ...

Staff Software Engineer

San Juan, PR · On-site

$160K - $180K/yr

From there, we build automation, software, and AI-enabled workflows that eliminate manual work and ... WHAT YOU'LL BRING · 5+ years of experience in full-stack development, with 2+ years in a start-up ...

Staff Software Engineer

San Juan, PR · On-site

$160K - $180K/yr

From there, we build automation, software, and AI-enabled workflows that eliminate manual work and ... WHAT YOU'LL BRING 5+ years of experience in full-stack development, with 2+ years in a start-up ...

Staff Software Engineer

San Juan, PR · On-site

$160K - $180K/yr

From there, we build automation, software, and AI-enabled workflows that eliminate manual work and ... WHAT YOU'LL BRING • 5+ years of experience in full-stack development, with 2+ years in a start-up ...

... of full-stack software engineering experience * 1-3 years of experience leading or managing ... Experience building or deploying AI-enabled systems, including LLM-based workflows (e.g., RAG ...

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Showing results 1-20

Full Stack Ai Engineer information

What is a Full Stack AI Engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do Full Stack AI Engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a Full Stack AI Engineer, and why are they important?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Puerto Rico? For Full Stack Ai Engineer jobs in Puerto Rico, the most frequently searched job titles are:
Infographic showing various Full Stack Ai Engineer job openings in Puerto Rico as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution.

Full-time

Posted 18 days ago


Job description

AI SW DeveloperThis role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

We are seeking for a FullStack Engineer who can be solid individual contributor and can design and implement user interfaces, backend services, and integrations end-to-end. They deliver features with high code quality, collaborate closely with seniors/leads, and demonstrate ownership of modules and tasks within a sprint. Having a good Networking knowledge

Responsibilities:


Feature Delivery (UI + API)

  • Build responsive, accessible front-end UI components and pages.
  • Develop backend REST/gRPC APIs, business logic, and data models.
  • Ensure clear contracts between front-end and backend.

Integration & Data Handling

  • Implement CRUD flows, pagination, and state management.
  • Integrate with authentication/authorization, telemetry/analytics, and storage systems.
  • Consume external services: LLM endpoints, agent orchestration APIs, or RAG services (where applicable).

Quality & Testing

  • Write unit/integration/e2e tests for UI and backend.
  • Add input validation, error handling, and observability hooks (logs/metrics/traces).
  • Maintain type safety, and documentation for features.

Performance & Reliability

  • Optimize rendering, bundle size, and API latency; add caching and retries.
  • Address N+1 queries, DB indexes, and query efficiency.
  • Participate in on-call rotations or incident triage with guidance.

DevOps & CI/CD Hygiene

  • Contribute to build pipelines, environment configs, and deployment manifests.
  • Containerize services (Docker) and follow branching/versioning best practices.
  • Manage feature flags, configuration, and secrets safely.

Collaboration & Communication

  • Work with designers, product, QA/ and senior engineers.
  • Provide clear status updates, capture decisions in ADR/design notes.
  • Review peer PRs; accept feedback and iterate quickly.

Education and Experience Required:

  • Bachelor's degree in computer science, engineering, data science, or closely related quantitative discipline. Master's degree is desirable.
  • Typically, 4-7 years' experience.

Knowledge and Skills:

  • Frameworks: React (preferred) / Angular ; modern hooks/patterns.
  • UI/UX: HTML5, CSS3/Sass, Tailwind/Material; accessibility (a11y), responsive design.
  • Languages/Frameworks: Python (FastAPI/Flask) or Node.js (Express/NestJS);
  • APIs: REST/gRPC; pagination, filtering, versioning, OpenAPI/Swagger.
  • Data: SQL (Postgres/MySQL) and NoSQL (Mongo/Redis); ORMs (SQLAlchemy/Prisma).
  • Testing: pytest/Jest; integration and contract tests.
  • Containers: Docker basics; compose; image optimization.
  • CI/CD: GitHub Actions/Azure DevOps; pipelines, artifacts, environments.
  • Cloud: Familiarity with cloud services (AWS/Azure/GCP) and environments.
  • Observability: Logs/metrics/traces; dashboarding; alerting fundamentals
  • AIIntegration (NicetoHave for AI Apps)
  • Consume LLM/agent APIs; handle token/latency/cost controls.
  • Work with RAG services (vector search endpoints); understand request/response patterns.
  • Implement prompt/response logging and guardrails integration (basic filters).

#LI-Hybrid

Additional Skills:

Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico#networking

Job:

Engineering

Job Level:

TCP_03

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.