Job highlights

- Familiarity with Machine Learning concepts and MLOps practices. .

Educational

Qualification . Bachelors or Masters degree in Computer Science,Information Technology,Artificial Intelligence,or a related field. . Key Competencies . Strong problem-solving and analytical thinking.

- Preferred Skills .

- Experience building enterprise AI assistants and knowledge management solutions.

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.

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





- Bachelors or Masters 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

- Solid 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

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 UI + AI Professional (Bengaluru)
🏢 Zensar
📍 Bengaluru