Description
Key Responsibilities

- Design and develop responsive, scalable, and user-friendly web applications.
- Build AI-powered user experiences leveraging GenAI and LLM technologies.
- Integrate AI services and APIs such as OpenAI, Azure OpenAI, Gemini, Claude, or similar platforms.
- Develop intelligent chatbots, virtual assistants, copilots, and AI-driven workflows.
- Translate UX/UI designs into high-quality frontend code.
- Create reusable UI components and design systems.
- Collaborate with Product Managers, UX Designers, Data Scientists, and Backend Engineers.
- Implement prompt engineering, RAG (Retrieval-Augmented Generation), and AI orchestration frameworks.
- Optimize AI applications for performance, scalability, security, and usability.
- Participate in code reviews, testing, deployment, and production support activities.

Responsibilities

Required Technical Skills

Frontend Development

- React.js, Next.js, Angular, or Vue.js
- HTML5, CSS3, JavaScript (ES6+), TypeScript
- Tailwind CSS, Bootstrap, Material UI
- Responsive Design and Accessibility (WCAG)
- State Management (Redux, Context API, NgRx)

AI / Generative AI
- Experience with LLMs and Generative AI technologies
- Prompt Engineering
- RAG Architecture
- AI Agent Development
- AI Model Integration through APIs
- Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)




- Semantic Search and Embeddings

Programming & Backend
- Python, Node.js, .NET, or Java
- REST APIs and GraphQL
- Microservices Architecture

Cloud & DevOps
- Azure, AWS, or GCP
- Docker and Kubernetes
- CI/CD Pipelines
- Git, GitHub, Azure DevOps

Qualifications

Preferred Skills

- Experience with Azure OpenAI Services.
- Hands-on experience with LangChain, LlamaIndex, Semantic Kernel, or CrewAI.
- Knowledge of AI Governance, Responsible AI, and Security best practices.
- Experience building enterprise AI assistants and knowledge management solutions.
- Familiarity with Machine Learning concepts and MLOps practices.

Educational Qualification

- Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.

Key Competencies

- Solid problem-solving and analytical thinking
- Excellent communication and stakeholder management skills
- Ability to work in Agile/Scrum environments
- Innovation and continuous learning mindset
- Strong ownership and accountability

Nice to Have

- AI/ML or Cloud Certifications
- Experience with Multi-Agent AI Systems
- Knowledge of NLP and Conversational AI
- Experience developing AI-enabled enterprise products
- Exposure to Copilot and Agentic AI solutions

📌 UI Ai (India)
🏢 Zensar Technologies
📍 India