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AI Software Developer

United States, San Juan · Job Posted July 03, 2026
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Job Description

We are seeking for a Full‑Stack Engineer as an individual contributor who delivers well-scoped tasks across the Application, follows established patterns, and steadily builds proficiency in testing, performance, and security. They work closely with more senior engineers, demonstrating reliability, learning agility, and ownership of modules assigned within a sprint. Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.

Job Responsibility

  • Feature Implementation (UI + API)
  • Builds UI components and pages using established design systems and patterns
  • Implements backend endpoints (CRUD, pagination, filters) and basic business logic
  • Maintains clean API contracts: request/response types, error structures, and HTTP status codes
  • Data & Integration
  • Wire up state management and data fetching
  • handle retries and error states
  • Integrate authentication/authorization flows and basic role checks
  • Consume internal/external services (e.g., LLM endpoints, orchestration APIs) under guidance
  • Quality & Testing Hygiene
  • Write unit and integration tests for UI and backend modules
  • Add validation, error handling, and logging hooks for observability
  • Follow linting, type safety, and code style guidelines
  • keep docs up to date
  • Performance & Reliability Basics
  • Optimize UI rendering (memoization, keying), reduce bundle bloat (tree-shaking)
  • Avoid N+1 queries, use indexes where applicable, and apply simple caching patterns
  • Participate in bug triage
  • provide clear repro steps and fix prioritization with guidance
  • DevOps & CI/CD Fundamentals
  • Contribute to build pipelines (tests, static checks), environment variables, and configs
  • Containerize services using Docker
  • understand image layering and .dockerignore basics
  • Use feature flags safely
  • handle secrets via managed mechanisms (never hard-code)
  • Collaboration & Communication
  • Work with designers, product, QA/SRE, and senior engineers
  • seek clarifications early
  • Share status succinctly
  • document decisions and assumptions in ADRs/design notes

Requirements

  • Bachelor's degree in computer science, engineering, data science or closely related quantitative discipline
  • Typically, 2-4 years’ experience
  • 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
  • AI‑Integration (Nice‑to‑Have 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)
  • 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

Nice to have

  • AI‑Integration (Nice‑to‑Have 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)

What we offer

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

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