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.
