AI Full-Stack Software Developer
Job in
Sartell, Stearns County, Minnesota, 56377, USA
Listed on 2026-10-23
Listing for:
Jefferson Capital, Inc.
Full Time
position Listed on 2026-10-23
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Full Stack Developer, DevOps
Job Description & How to Apply Below
- Design, develop, and maintain modern full-stack applications using C#, .NET, ASP.NET Core, React, Angular, Blazor, and related technologies.
- Build reusable software components, APIs, services, and frameworks that accelerate enterprise application development.
- Develop and integrate Artificial Intelligence (AI) solutions, including Generative AI, Retrieval-Augmented Generation (RAG), machine learning services, and intelligent automation capabilities.
- Create secure and scalable REST APIs and microservices that support AI-powered business applications.
- Collaborate with business stakeholders, product owners, and cross-functional teams to identify opportunities where AI can improve operational efficiency, customer experiences, and decision-making.
- Design and develop front-end user experiences that incorporate conversational AI, intelligent recommendations, predictive analytics, and automation workflows.
- Integrate enterprise data sources with AI platforms, vector databases, and cloud-based AI services.
- Optimize application performance, scalability, reliability, and security across distributed systems.
- Participate in architecture reviews, code reviews, and technology evaluations.
- Develop and maintain CI/CD pipelines and deployment automation processes.
- Implement testing strategies, monitoring, logging, and observability for production applications.
- Stay current on emerging AI technologies, development frameworks, cloud services, and software engineering best practices.
- Contribute to enterprise AI governance, security, data privacy, and responsible AI initiatives.
- Experience with Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, Semantic Kernel, Lang Chain, or similar AI development frameworks.
- Experience developing Retrieval-Augmented Generation (RAG) solutions.
- Experience with Kubernetes, containers, and cloud-native application architectures.
- Knowledge of Dev Ops practices, CI/CD pipelines, Infrastructure as Code, and Git Hub Actions or Azure Dev Ops.
- Experience working with vector databases such as Pinecone, Azure AI Search, Weaviate, or Qdrant.
- Familiarity with MLOps concepts and machine learning deployment pipelines.
- Experience building AI agents, workflow automation, and autonomous business process solutions.
- Knowledge of information security, AI governance, and secure development lifecycle practices.
- Experience with financial services, collections, fintech, or other regulated industries.
- Microsoft Azure, AI, or cloud certifications are preferred.
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