Dotnet Developer

Skills : .NET & Generative AI

Experience: 4 to 10 Years

Mode of Hire: Contract to Hire

Work Location: PAN INDIA

Notice Period: Immediate - 15 Days

Job Summary

We are looking for a highly skilled .NET Developer with strong exposure to Generative AI technologies to design, build, and scale intelligent applications. The ideal candidate combines solid backend engineering fundamentals with hands-on experience integrating Large Language Models (LLMs) and AI services into real-world enterprise systems.

You will work closely with product, data, and AI teams to create innovative, AI-powered solutions that enhance automation, decision-making, and user experience.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using .NET (C#, ASP.NET Core, Web API)
• Integrate Generative AI models (LLMs) into applications for use cases such as chatbots, content generation, summarization, and intelligent search
• Work with OpenAI / Azure OpenAI / other LLM APIs and manage prompt engineering, embeddings, and token optimization
• Build AI-driven microservices and REST APIs
• Implement secure, high-performance, and reliable solutions following best practices
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Optimize application performance, scalability, and cost (especially AI inference usage)
• Participate in code reviews, architecture discussions, and technical decision-making
• Stay current with emerging trends in Generative AI and .NET ecosystem

Required Skills & Qualifications

Core Technical Skills

• Strong proficiency in C# and .NET Core / .NET 6+
• Experience with ASP.NET Core, Web APIs, and Microservices architecture
• Solid understanding of RESTful services, authentication, and authorization (OAuth, JWT)
• Experience with SQL Server / NoSQL databases
• Familiarity with cloud platforms (Azure preferred)

Generative AI Skills

• Hands-on experience with Generative AI / LLMs
• Experience integrating OpenAI / Azure OpenAI / Hugging Face / similar APIs
• Knowledge of prompt engineering, embeddings, vector databases, and RAG (Retrieval-Augmented Generation)
• Understanding of AI limitations, hallucinations, and mitigation techniques

Nice to Have

• Experience with Azure AI Services, Cognitive Search, or Vector Databases (Pinecone, FAISS, Cosmos DB, etc.)
• Knowledge of Python for AI experimentation
• Experience with Docker, Kubernetes, CI/CD pipelines
• Exposure to DevOps and Infrastructure as Code (Terraform, Bicep)
• Background in enterprise or SaaS application development