Senior GenAI Engineer - .Net

- Should have 5+ years of experience preferably a Bachelor s degree in Computer Science or equivalent experience. - Daily hands on with generative coding tools (Copilot, Cursor, CodeWhisperer, etc.). - 5-10 years of experience in .NET application development (.NET 6/7+, C#, ASP.NET Core, REST APIs). - Daily use of GitHub Copilot or Cursor (or equivalent) for >6 months on real codebases. Hands-on experience building or integrating: - Vector search (Pinecone, Redis, FAISS) - Azure OpenAI or local LLMs (e.g., Llama, Mistral) via API - RAG workflows and multi-step AI agents in enterprise workflows - Familiar with xUnit/NUnit, Swagger, DocFX, and CI/CD integration in Azure DevOps or GitHub Actions. - Strong Git, PR review, and software quality enforcement skills. - Knowledge of prompt engineering, LLM evaluation (GPT Score, human eval), and latency/cost optimisation. - Ability to explain GenAI concepts to engineers and non tech stakeholders. - Solid foundation in data structures, algorithms, distributed systems, and design patterns. - Strong understanding of software engineering best practices, including unit testing, code reviews, design documentation, debugging, troubleshooting, and agile development - Should be Passionate for technology and eager to learn new trends - Excellent communication skills with business stakeholders and team members Preferred Skills : - Fine tuning experience (LoRA, RLHF) on open weights models (Llama 3, Mistral). - Knowledge of LangChain.NET or experience embedding agentic logic in C# services. - Experience with prompt evaluation, A/B testing, or ranking GenAI completions. - Prior mentorship or internal coaching experience (brown-bags, bootcamps, L&D). - Published prompt libraries, .NET GenAI tools, or AI-driven .NET POCs. Skills: prompt , Github, .NET, Troubleshooting, Llm Experience: 5.00-10.00 Years