Назад
6 дней назад

AI Fullstack Product Engineering Intern

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
China
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Описание вакансии

TL;DR
AI Fullstack Product Engineering Intern (AI/Fullstack): Building end-to-end product capabilities across data, APIs, AI functionality, and frontend pages with an accent on asynchronous services, data modeling, and retrieval-augmented workflows. Focus on implementing summarization, structured extraction, citation binding, human-review flows, and reliable integrations with external data sources.

AI Full Stack Product Engineering Intern

Company

01.AI

Conditions

1 week ago

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build end-to-end product capabilities from data and APIs to AI functionality and frontend pages. You will develop backend APIs, asynchronous tasks, and data services; design business objects, data tables, and interfaces; and integrate external data sources. You will implement AI summarization, structured extraction, retrieval augmentation, citation binding, and human-review workflows. You will also write tests and technical documentation and participate in code reviews, demonstrations, and issue retrospectives.

Requirements

  • Current senior undergraduate or master's student in computer science, software engineering, artificial intelligence, or a related field, or equivalent practical experience
  • Python, Node.js, or similar programming languages
  • API development and debugging
  • SQL and data modeling
  • HTTP
  • REST
  • JSON
  • authentication
  • asynchronous task processing
  • error handling
  • testing
  • Git
  • Linux
  • Docker or similar tools
  • AI coding tools
  • Experience developing and delivering at least one complete project
  • English reading ability for PRDs, API documentation, source documentation, issues, and technical materials

Responsibilities

  • Develop backend APIs, asynchronous tasks, and data services
  • Design business objects, data tables, and interfaces
  • Integrate external data sources and handle data import, mapping, debugging, and fallback behavior
  • Implement AI summarization, structured extraction, retrieval augmentation, citation binding, and human-review workflows
  • Write tests and technical documentation
  • Participate in code reviews, demonstrations, and issue retrospectives

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