What are the responsibilities and job description for the GenAI Fullstack Developer (React.Js) position at Capgemini?
Role: GenAI Fullstack Developer (React.Js)
Location: Charlotte, NC
Fulltime
Note: No Sponsorship available for this role, Only Non Visa.
We are looking for a Senior Generative AI Full Stack Engineer to build GenAIenabled tools and applications with a strong focus on Reactjs frontends and GenAI backend integration This role is responsible for developing userfacing interfaces that interact with LLMs configurationdriven frameworks and enterprise data platforms
The ideal candidate blends strong Reactjs expertise with handson GenAI experience and understands how users interact with AIdriven systems
Key Responsibilities
Frontend Full Stack Development
Design and develop modern responsive Reactjs applications
Build UI components to
Capture and manage user stories or inputs
Configure GenAI workflows and data pipelines
Visualize GenAI outputs logs and execution status
Integrate frontend applications with backend GenAI and data APIs
Generative AI Integration
Work with backend services to integrate LLMs RAG pipelines and GenAI orchestration services
Support prompt construction context visualization and response handling in the UI
Implement features to manage prompt versions configurations and workflow states
Engineering Collaboration
Write clean maintainable and welltested code
Participate in architecture and design discussions
Collaborate with GenAI GCP SparkDPC and platform teams
Support CICD pipelines and automated testing
Contribute to reusable UI patterns and internal developer tools
Required Skills Qualifications
Core Technical Skills
Strong handson experience with Reactjs and modern JavaScriptTypeScript
Strong experience with HTML5 CSS3 and componentbased UI development
Experience integrating frontend applications with REST APIs
Handson experience with Generative AI LLMbased systems
Familiarity with RAG concepts prompt handling and AI context workflows
Experience with Git and AgileScrum development
Preferred Qualifications
Experience building internal tools or platform UIs
Familiarity with backend technologies Java or Python
Exposure to data platforms ETLELT tools or Sparkbased systems
Experience deploying applications in cloud environments GCP AWS or Azure