Senior Frontend Developer – AI Native Data
at Jobr
Guadalajara, Mexico, onsite, senior, contract, 8–12 years
seen 4d ago
- SVG
- GitHub
- Grid
- HTML
- gRPC
- TypeScript
- Flexbox
- Docker
- SCSS
- JavaScript
- Protocol Buffers
- Flask
- Jest
- Python
- React Testing Library
- CSS
- Google Cloud Platform
- npm
- React
- Bazel
- Google Kubernetes Engine
- Git
- yarn
- Webpack
- D3.js
- REST APIs
About the role
At Rehire, we are partnering with an international technology company specializing in cloud, data, and AI-driven digital solutions in the search for a Senior Frontend Developer – AI Native Data.
We are looking for a highly experienced Frontend Developer with strong expertise in React, TypeScript, D3.js, and data visualization, capable of building interactive, scalable, and AI-powered user interfaces.
The ideal candidate combines advanced frontend engineering skills with experience developing complex data-driven applications and an interest in LLM-powered interfaces, conversational AI, and agentic workflows.
* Location: Mexico, Guadalajara.
* Work Model: 100% Onsite.
* Engagement Type: Contractor.
* Contract Duration: 12 months.
· Opportunity to work on international cloud security and AI-driven cybersecurity initiatives.
· Collaboration with senior engineers, architects, and distributed technical teams.
· Exposure to AI security agents, security automation, and modern cloud environments.
If you meet the requirements and are interested in this exciting opportunity, apply at www.rehire.ar/jobs and send us your CV!
No description available.
What you would do
* Develop and maintain frontend applications using React, TypeScript, and modern JavaScript.
* Build interactive features for data explorers, topic pages, and natural-language search interfaces.
* Design and implement advanced data visualizations using D3.js and SVG, including maps, timelines, scatter plots, and ranking tables.
* Develop interactive visualization features such as zooming, brushing, tooltips, and linked charts.
* Build AI-native user experiences, including conversational interfaces, streaming LLM responses, and AI-powered search.
* Create agent workflow interfaces that display execution steps, tool calls, progress indicators, and cited sources.
* Implement generative UI components that dynamically render charts, tables, and other interactive elements based on AI-generated outputs.
Read from jobr.pro, last seen 4d ago.