The posting
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.
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
- 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
About Us
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.



