Conduct code reviews and enforce development best practices.
Participate in Agile/Scrum ceremonies and delivery activities.
Required Technical Skills
Front-End Development
React.js / Next.js
TypeScript
JavaScript (ES6+)
HTML5
CSS3 / SCSS
Responsive Web Design
Material UI, Tailwind CSS, Bootstrap
AI & GenAI
OpenAI, Azure OpenAI, Anthropic Claude, Gemini
Prompt Engineering
Retrieval-Augmented Generation (RAG)
LangChain / LangGraph
AI Agent Frameworks
Vector Databases (Pinecone, ChromaDB, FAISS)
AI Model Integration via APIs
Backend & APIs
Node.js / Python
REST APIs
GraphQL
Microservices Architecture
Cloud & DevOps
Azure, AWS, or GCP
Docker
Kubernetes
CI/CD Pipelines
GitHub Actions / Jenkins
Databases
MongoDB
PostgreSQL
MySQL
Redis
Preferred Skills
Experience building AI Assistants, Chatbots, or Copilot solutions.
Knowledge of Machine Learning concepts and NLP.
Familiarity with AI observability and model monitoring.
Experience with Azure AI Foundry, Azure Cognitive Services, or AWS Bedrock.
Understanding of MLOps concepts and deployment pipelines.
Exposure to multimodal AI applications (text, image, voice).
Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or related fields.
5+ years of experience in UI/Front-End development.
2+ years of experience working with AI/GenAI technologies.
Strong problem-solving and software engineering skills.
Key Competencies
Front-End Architecture
AI/GenAI Product Development
User-Centric Design Mindset
Problem Solving & Innovation
System Design & Integration
Stakeholder Collaboration
Communication & Presentation Skills
Continuous Learning
Nice to Have
Experience with AI Agents and Multi-Agent Systems.
Familiarity with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO).
Knowledge of Web Accessibility (WCAG).
Experience with Retail, eCommerce, or Customer Experience platforms.
AI-related certifications from Microsoft, AWS, Google, or OpenAI ecosystem.
Certifications (Preferred)
Microsoft Certified: Azure AI Engineer Associate
Microsoft Applied Skills: Build Generative AI Solutions
AWS Certified Machine Learning Specialty
Google Professional Machine Learning Engineer
React Professional Certification
Key Responsibilities
UI Engineering
Design and develop responsive, scalable, and high-performance web applications.
Build reusable UI components and front-end frameworks.
Collaborate with UX Designers to translate designs into pixel-perfect interfaces.
Optimize applications for performance, accessibility, and cross-browser compatibility.
Implement state management and component-driven architectures.
AI & GenAI Integration
Integrate LLMs and Generative AI solutions into web applications.
Develop AI-powered features such as chatbots, copilots, recommendation engines, and intelligent search.
Build and consume AI/ML APIs and services.
Work with prompt engineering, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
Collaborate with Data Science teams to deploy and monitor AI-powered experiences.
Collaboration & Delivery
Participate in architecture discussions and technology selection.
Collaborate with backend teams to design and integrate RESTful APIs and microservices.
Conduct code reviews and enforce development best practices.
Participate in Agile/Scrum ceremonies and delivery activities.
Required Technical Skills
Front-End Development
React.js / Next.js
TypeScript
JavaScript (ES6+)
HTML5
CSS3 / SCSS
Responsive Web Design
Material UI, Tailwind CSS, Bootstrap
AI & GenAI
OpenAI, Azure OpenAI, Anthropic Claude, Gemini
Prompt Engineering
Retrieval-Augmented Generation (RAG)
LangChain / LangGraph
AI Agent Frameworks
Vector Databases (Pinecone, ChromaDB, FAISS)
AI Model Integration via APIs
Backend & APIs
Node.js / Python
REST APIs
GraphQL
Microservices Architecture
Cloud & DevOps
Azure, AWS, or GCP
Docker
Kubernetes
CI/CD Pipelines
GitHub Actions / Jenkins
Databases
MongoDB
PostgreSQL
MySQL
Redis
Preferred Skills
Experience building AI Assistants, Chatbots, or Copilot solutions.
Knowledge of Machine Learning concepts and NLP.
Familiarity with AI observability and model monitoring.
Experience with Azure AI Foundry, Azure Cognitive Services, or AWS Bedrock.
Understanding of MLOps concepts and deployment pipelines.
Exposure to multimodal AI applications (text, image, voice).
Qualifications
Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or related fields.
5+ years of experience in UI/Front-End development.
2+ years of experience working with AI/GenAI technologies.
Strong problem-solving and software engineering skills.
Key Competencies
Front-End Architecture
AI/GenAI Product Development
User-Centric Design Mindset
Problem Solving & Innovation
System Design & Integration
Stakeholder Collaboration
Communication & Presentation Skills
Continuous Learning
Nice to Have
Experience with AI Agents and Multi-Agent Systems.
Familiarity with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO).
Knowledge of Web Accessibility (WCAG).
Experience with Retail, eCommerce, or Customer Experience platforms.
AI-related certifications from Microsoft, AWS, Google, or OpenAI ecosystem.
Certifications (Preferred)
Microsoft Certified: Azure AI Engineer Associate
Microsoft Applied Skills: Build Generative AI Solutions
AWS Certified Machine Learning Specialty
Google Professional Machine Learning Engineer
React Professional Certification
