AI/ML Full Stack Developer (.NET Experience)

QodeSouth Carolina, SC
Onsite

About The Position

We are seeking an experienced AI/ML Full Stack Developer with strong .NET expertise to join our team in Fort Mill, SC. The ideal candidate will have hands-on experience building enterprise-grade applications, integrating AI/ML solutions, developing scalable backend services using .NET technologies, and creating modern web applications.

Requirements

  • 10+ years of experience in software development.
  • Strong experience with C#, ASP.NET Core, .NET Framework, .NET 6/7/8.
  • Experience with Angular, React, or similar frontend frameworks.
  • Hands-on experience developing and deploying AI/ML solutions.
  • Experience with LLM integration, prompt engineering, embeddings, and RAG architecture.
  • Strong knowledge of SQL Server, PostgreSQL, Cosmos DB, or MongoDB.
  • Experience with REST APIs, Microservices, and Event-Driven Architecture.
  • Experience with Azure, AWS, or Google Cloud platforms.
  • Knowledge of Git, Azure DevOps, GitHub, and CI/CD pipelines.
  • Strong analytical, troubleshooting, and problem-solving skills.

Nice To Haves

  • Experience with Azure OpenAI, Azure AI Search, Azure Cognitive Services.
  • Experience with Semantic Kernel, LangChain, CrewAI, AutoGen, or similar AI frameworks.
  • Knowledge of Python for AI/ML development.
  • Experience with Vector Databases such as Pinecone, Weaviate, ChromaDB, or Azure AI Search.
  • Experience with Docker, Kubernetes, and container orchestration.
  • Familiarity with MLOps concepts and model deployment pipelines.
  • Domain Experience (Preferred) Financial Services Wealth Management Banking Insurance

Responsibilities

  • Design, develop, and maintain full-stack applications using .NET and modern JavaScript frameworks.
  • Build and integrate AI/ML solutions, including Generative AI, LLMs, AI Agents, and RAG-based applications.
  • Develop RESTful APIs, microservices, and cloud-native solutions.
  • Integrate AI platforms such as Azure OpenAI, OpenAI, AWS Bedrock, Claude, or Gemini.
  • Design and implement vector search solutions and knowledge retrieval systems.
  • Collaborate with business stakeholders to gather requirements and deliver AI-powered solutions.
  • Optimize application performance, scalability, and security.
  • Implement CI/CD pipelines and DevOps best practices.
  • Participate in code reviews, architecture discussions, and technical mentoring.
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