Candidate must have strong .net with AI, LLM experienc
· Integrate LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.) into production applications.
· Build AI pipelines including prompt engineering, streaming responses, confidence scoring, and hallucination handling.
· Design human-in-the-loop workflows for AI-driven applications.
· Develop scalable systems using event-driven architecture with tools like Service Bus or RabbitMQ.
· Design and optimize document-based data models using CosmosDB or similar NoSQL databases.
· Build modern frontend applications using Next.js (App Router, Server Components, Server Actions).
· Actively leverage AI coding tools such as Copilot, Claude Code, or Cursor to accelerate development.
· Contribute to system architecture decisions and scalable platform design.
- Expect scenario-based coding questions and code output verification.
- Emphasis on practical knowledge over DSA-heavy questions.
- Basic working knowledge of ReactJS is required.
- JavaScript and TypeScript (TypeScript is preferred, not mandatory).
- React concepts like component lifecycle, state vs. props, etc.
- Expected to contribute 20–25% on UI tasks.
- UI knowledge should be sufficient to handle basic components and data mapping.
- Cloud experience is not mandatory.
- Knowledge of Docker and Kubernetes is a plus, not a filter criterion
Never miss an opportunity! Create an alert based on the job you applied for.
