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Backend Ai Engineer Jobs in Puerto Rico (NOW HIRING)

We leverage modern AI development tools daily to accelerate workflows and expect you to do the same ... Write Python scripts and backend services to automate internal operations, data flows, and ...

Application Developer

San Juan, PR · On-site

$60 - $80/hr

Application Developer San Juan, PR, PR 2 days ago Requisition ID: 1008 Job Title Application ... back-end logic work harmoniously while integrating modern AI and data capabilities. Key ...

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... As an Epic Denials Manager, you will help deliver back-end revenue cycle management (RCM) services ...

Epic Denials Management Operator

San Juan, PR · Remote

$17.75 - $23.50/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management to deliver back-end Revenue Cycle Management (RCM) services, including Billing and Claims Submission ...

Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows * Provide technical mentorship and coaching to engineers through problem solving sessions ...

Guide system and solution design across infrastructure, backend services, data platforms, and AI workflows * Provide technical mentorship and coaching to engineers through problem solving sessions ...

Senior Software Engineer | RVPR

San Juan, PR · On-site +1

$120K - $158K/yr

In this role, you'll design and operate high-performance backend services and the message-driven ... Experiment with emerging AI frameworks, tools, and architectures-building POCs that push the ...

Senior Software Engineer | RVPR

San Juan, PR · On-site

$120K - $158K/yr

In this role, you'll design and operate high-performance backend services and the message-driven ... Experiment with emerging AI frameworks, tools, and architectures-building POCs that push the ...

Showing results 21-37

Backend Ai Engineer information

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive as a backend AI engineer?

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focus—system integration versus data analysis.

What are popular job titles related to Backend Ai Engineer jobs in Puerto Rico?

For Backend Ai Engineer jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Backend Ai Engineer jobs in Puerto Rico look for?

The top searched job categories for Backend Ai Engineer jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Backend Ai Engineer jobs?

Cities in Puerto Rico with the most Backend Ai Engineer job openings:

Full-time

Re-posted 3 days ago


Key responsibilities

  • Design and implement user interfaces, backend services, and integrations end-to-end.

  • Develop and maintain front-end UI components, backend APIs, and data models, ensuring clear contracts between front-end and backend.

  • Implement CRUD flows, integrate with authentication, telemetry, storage systems, and consume external services such as LLM endpoints and RAG services.


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

35th of 161 rated electronics manufacturers


Job description

AI Software developer IIIThis role has been designed as 'Hybrid' with a requirement 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

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.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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