AI/ML Full Stack Developer (.NET Experience)
Qode
AI/ML Full Stack Developer (.NET Experience)
Location: Fort Mill, SC
Experience: 10+ Years
Duration- Full-Time
Position Overview
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.
Key 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.
Required Skills
- 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.
Preferred Skills
- 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
Education
- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
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