обновлено 4 дня назад
AI Software Developer III (Fullstack)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Developer III (Fullstack): Building responsive user interfaces, backend APIs, data flows, and integrations for AI-enabled applications with an accent on React, Python or Node.js, REST/gRPC services, and cloud-native delivery. Focus on consuming LLM and RAG services, optimizing performance and reliability, and implementing testing, observability, CI/CD, and secure configuration.
Location: Hybrid; work from an HPE office an average of 2 days per week
Company
is a global edge-to-cloud technology company developing solutions that connect, protect, analyze, and manage data and applications.
What you will do
- Build responsive and accessible front-end components and pages.
- Develop backend REST and gRPC APIs, business logic, data models, CRUD flows, pagination, and integrations.
- Integrate authentication and authorization, telemetry, analytics, storage systems, and external LLM, agent, or RAG services.
- Write unit, integration, contract, and end-to-end tests while adding validation, error handling, logging, metrics, and traces.
- Optimize rendering, bundle size, API latency, database queries, caching, and retry behavior.
- Contribute to CI/CD pipelines, deployment manifests, Docker containerization, feature flags, configuration, secrets management, and incident triage.
Requirements
- Bachelor's degree in computer science, engineering, data science, or a related quantitative discipline.
- Typically 4–7 years of professional experience.
- Experience with React or Angular, HTML5, CSS3/Sass, Tailwind or Material, responsive design, and accessibility.
- Experience with Python and FastAPI/Flask or Node and Express/NestJS, plus REST/gRPC APIs and OpenAPI/Swagger.
- Knowledge of SQL and NoSQL databases, ORMs, automated testing, Docker, CI/CD, cloud services, and observability.
- Good networking knowledge and the ability to collaborate with designers, product managers, QA, and senior engineers.
Nice to have
- Master's degree in a relevant discipline.
- Experience consuming LLM and agent APIs, managing token, latency, and cost controls, and integrating RAG services.
- Knowledge of prompt and response logging and guardrails for AI applications.
Culture & Benefits
- Benefits supporting physical, financial, and emotional health and wellbeing.
- Personal and professional development programs supporting career growth and movement across divisions.
- Inclusive workplace that values varied backgrounds and individual uniqueness.
- Flexibility to manage work and personal needs within the hybrid work model.
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