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Zensar Technologies

UI + AI

IndiaPosted 3 days ago

Skills

AzureReactNext.jsAngularVueHTMLCSSJavaScriptTypeScriptPythonNode.jsC#

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

Apply on Zensar Technologies