Musafir
Fullstack DotNet AI Developer
- Eligibility
- Not stated
- Batch
- Not stated
- Experience
- 4+ years
- Pay
- Not stated
How well do you fit this role?
Your resume against this posting — what you have, what’s missing, and a short plan to close the gap.
PDF or text, up to 4 MB. It stays in this browser — nothing is saved to your account.
About this role
About the role: - Musafir is hiring a Fullstack DotNet AI Developer for its Pune office. - The position is work from office and focuses on building AI-powered features for a travel platform. - The role combines backend engineering in C# and .NET 10 with React, TypeScript and modern Generative AI capabilities. What you'll work on: - Own product features from technical design and development through production deployment. - Build LLM-powered functionality using C#, .NET 10 and ASP.NET Core. - Develop RAG, chat, function-calling and agent-based capabilities. - Create retrieval pipelines with technologies such as Azure AI Search, PGVector or Qdrant. - Integrate model providers including Azure OpenAI, OpenAI and other LLM APIs. - Build responsive user-facing functionality with React and TypeScript. - Design and optimize microservices and RESTful APIs. - Work with PostgreSQL or MongoDB, caching systems and background workers. - Design prompts and optimize token consumption and AI-related costs. - Implement guardrails, model evaluation, hallucination mitigation and AI observability. - Add application monitoring with OpenTelemetry and ELK and contribute to Docker, CI/CD and Azure or AWS environments. What we're looking for: - Candidates should have 4+ years of C#/.NET development experience with strong OOP, SOLID, clean-code and design-pattern fundamentals. - Hands-on experience with microservices, REST APIs, PostgreSQL or MongoDB, React and TypeScript is required. - Applicants should have worked with Semantic Kernel, Microsoft.Extensions.AI or LLM API integrations within .NET. - Understanding of embeddings, similarity search, RAG, prompt engineering and token or cost optimization is expected. - Familiarity with GraphQL, OpenTelemetry, ELK, Git, Docker and CI/CD is relevant, along with strong debugging, ownership and communication skills. Interview process: - The process includes Technical Screening, Technical Interview, System Design Interview, Hiring Manager Round and HR Round. Note: This is a work-from-office role in Pune.