Văn Phòng Đại Diện Cazoodle, Inc Tại Thành Phố Hà Nội • Dec 17, 2025
• Bán thời gian, Remote, Onsite • Junior, Middle
Quy mô: 0
Địa điểm: Hà Nội
Ngôn ngữ: Tiếng Việt, Tiếng Anh
Lương: Đăng nhập để xem
ID: 24985
We are looking for a full-stack developer with experience in both Frontend (ReactJS) and Backend (Python) to join our software product development team. You will work in a flexible, fully remote environment with a young and dynamic team.
Project Description: You will work on AI-driven knowledge discovery systems that explore, search, and synthesize information from structured and unstructured data across millions of websites.
We build:
Vertical search engines
Community knowledge services
You will collaborate with:
Professor Kevin Chang (CS @ UIUC)
Senior engineers at Cazoodle, Hanoi
Senior graduate students at UIUC
Work remotely or from our Hanoi office.
Responsibilities
Requirements
- Mandatory
1+ years of experience (Junior – Mid).
Proficiency in ReactJS (state management, hooks, components).
Backend experience with Python (Django, FastAPI, or Flask).
Good English skills (reading & writing; communication is a plus).
Ability to work independently in a remote environment.
- Preferred
Experience in UI/UX or interface design.
Knowledge of CI/CD, Docker, or cloud services (AWS/GCP/Azure).
Strong logical thinking, responsibility, and discipline when working remotely.
Experience with AI/NLP is a plus.
Fully remote work.
Flexible working hours.
Competitive salary based on capability.
Opportunities to upgrade skills and advance your career.
Cazoodle specializes in building new search engines that aggregate information from thousands of online sources, creating a one stop-destination for users to quickly navigate through all their possible choices for finding funding opportunities, renting an apartment or buying a certain product. We are seeking software developers to join our team tasked with maintaining and developing not only our vertical search applications but also our crawling platform which helps collect and aggregate data from online sources.