Senior UI engineer (React/React Native & AI Development)

Key Responsibilities:

• Design, develop, and maintain responsive web and mobile applications using React.js and/or React Native.
• Build reusable UI components and ensure a seamless user experience across platforms.
• Integrate AI/LLM-powered capabilities into applications using APIs and frameworks.
• Develop and enhance AI-driven workflows, copilots, chatbots, and intelligent assistants.
• Design and optimize prompts for Large Language Models (LLMs) to improve accuracy and user experience.
• Develop and orchestrate AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar platforms.
• Collaborate with Product, UX, and backend teams to deliver end-to-end solutions.
• Participate in architecture discussions, code reviews, and performance optimization initiatives.
• Stay updated on emerging UI and AI technologies and recommend innovative solutions.

Required Skills: UI Development

• Strong hands-on experience with React.js and/or React Native.
• Proficiency in JavaScript (ES6+), TypeScript, HTML5, CSS3.
• Experience with state management libraries such as Redux, Zustand, or Context API.
• Familiarity with REST APIs and modern frontend development practices.

AI & Automation

• Strong programming skills in Python.
• Experience with Prompt Engineering and LLM-based application development.
• Hands-on experience integrating OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI services.
• Experience building and deploying AI Agents and agentic workflows.
• Familiarity with RAG (Retrieval-Augmented Generation) architectures, vector databases, and embeddings.
• Understanding of AI application monitoring, evaluation, and optimization techniques.

Preferred Qualifications:

• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience developing AI-powered products, copilots, or conversational applications.
• Familiarity with containerization technologies such as Docker and Kubernetes.

Nice to Have:

• Exposure to MCP (Model Context Protocol).
• Experience with AI observability tools.
• Knowledge of GraphQL and microservices architectures.
• Mobile application deployment experience on iOS and Android platforms.

Key Traits:

• Hands-on problem solver with strong ownership.
• Ability to bridge UI engineering and AI innovation.
• Excellent communication and stakeholder management skills.
• Passion for emerging AI technologies and modern frontend ecosystems.