Zensar Technologies
UI + AI
Skills
Job 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.
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
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
Strong 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