React/React JS with GenAI Engineer

Role: React/React JS with GenAI Engineer

Location: Dallas, Texas (Onsite )

Experience: 10 years

Summary:

React / React JS with Generative AI (GenAI) Engineer to join its cutting-edge technology team in Texas. The ideal candidate will have a strong frontend background using React.js and a proven ability to integrate and work with AI/ML models, including LLMs, for building next-generation user experiences, including chatbots, intelligent dashboards, and GenAI-powered web applications.

Key Responsibilities:

•    Design, develop, and optimize React-based web applications with a focus on performance, responsiveness, and AI integration.
•    Collaborate with data scientists, backend developers, and product teams to integrate Generative AI (e.g., OpenAI, LangChain, Hugging Face) into frontend applications.
•    Build dynamic conversational UIs and GenAI-driven workflows, such as chatbots, smart assistants, and content generators.
•    Consume RESTful and GraphQL APIs to display AI-generated content or interact with GenAI services.
•    Ensure accessibility, security, and best UI/UX practices are followed.
•    Develop and maintain testing strategies for frontend components, including unit and integration tests.
•    Participate in code reviews, Agile ceremonies, and architecture discussions.

Required Skills:

•  Strong proficiency in React.js, JavaScript, and TypeScript
•    Solid experience with frontend frameworks such as Tailwind CSS, Bootstrap, or similar
•    Hands-on experience integrating GenAI tools and APIs (e.g., OpenAI, Hugging Face Transformers, LangChain, GPT-based APIs)
•    Familiarity with chatbot frameworks, conversational UI design, or voice/NLP interfaces
•    Proficiency in API integration (REST, GraphQL)
•    Strong understanding of frontend performance optimization and responsive design
•    Nice to Have:Experience with Next.js, Vue, or other modern frameworks
•    Familiarity with cloud platforms (AWS, GCP, or Azure) for deploying AI applications
•    Exposure to LLMOps or prompt engineering
•    Understanding of machine learning pipelines, particularly related to NLP or voice-based applications