AI SW Developer

Job Title

AI SW Developer

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

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 on finding 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.

We are seeking a Full‑Stack Engineer who can be a 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 good networking knowledge.

• 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.

• 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).

• 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.

• 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.

• 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.

• 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.

• Bachelor's degree in computer science, engineering, data science, or closely related quantitative discipline. Master's degree is desirable.
• Typically, 4-7 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 No
  
  SQL (Mongo/Redis); ORMs (SQL Alchemy/Prisma).
• Testing: pytest/Jest; integration and contract tests.
• Containers:
  Docker basics; compose; image optimization.
• CI/CD:
  Git Hub Actions/Azure Dev Ops; 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

We strive to provide our team members and their loved ones with a comprehensive suite of benefits…