Candidate must have strong .net with AI, LLM experience
10+ years total experience.
Strong in .NET Core backend with practical coding exposure.
At least 1 year of recent hands-on ReactJS experience.
Familiar with SQL querying, Entity Framework, and basic cloud/DevOps concepts (bonus).
Strong .NET Core (non-negotiable) backend development experience is the top priority.
Candidates must be hands-on and able to write working code with minimal issues.
.NET Core is mandatory.
Entity Framework and LINQ skills are required.
Working knowledge of SQL Server is expected (no DBA-level skills needed, but basic query writing is necessary).
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
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