AI Full-Stack Software Developer

Jefferson Capital Systems; Sartell (MN); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Health insurance

Paid time off

Tuition reimbursement

Vision insurance

Dental insurance

Job summary

Jefferson Capital Systems is seeking an experienced full-stack software engineer to design, develop, and maintain modern applications using C#, .NET, ASP.NET Core, React, Angular, or Blazor. The role focuses on building AI-powered enterprise solutions and scalable microservices.

You will collaborate with business stakeholders to identify AI-driven improvements in efficiency, customer experiences, and decision-making, while ensuring security and performance across distributed systems.

Qualifications

• BS in CS/SE/IS or related field or equivalent experience.
• 5+ years of professional software development using C# and the.NET platform.
• Experience with ASP.NET Core, Web APIs, and front-end frameworks such as React, Angular, or Blazor.
• Knowledge of AI/ML concepts, including LLMs, embeddings, and vector databases.
• Experience integrating Azure OpenAI, Microsoft Copilot Studio, Azure AI Services, OpenAI APIs, or similar AI platforms.
• Strong database experience with SQL Server, PostgreSQL, Cosmos DB, or similar.
• Experience with Git and CI/CD workflows.
• Understanding of OOP, design patterns, and secure coding practices.
• Strong troubleshooting and team collaboration skills.

Responsibilities

• Design, develop, and maintain full-stack applications using C#, .NET, ASP.NET Core, React/Angular/Blazor.
• Build reusable components, APIs, services, and frameworks for enterprise apps.
• Develop AI solutions including Generative AI, RAG, ML services, and automation.
• Create secure and scalable REST APIs and microservices for AI-powered apps.
• Collaborate with stakeholders to identify AI-driven improvements in operations and experiences.
• Develop front-end experiences with conversational AI, recommendations, analytics, and automation.
• Integrate enterprise data sources with AI platforms and vector databases.
• Optimize performance, scalability, security, and reliability across distributed systems.
• Participate in architecture reviews, code reviews, and tech evaluations.
• Develop CI/CD pipelines and deployment automation; implement testing, monitoring, and observability.

Education

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field

Tools

Git

Azure OpenAI

Cosmos DB

OpenAI APIs

Kubernetes

LangChain

Semantic Kernel

Weaviate

Job description

JOB SUMMARY & RESPONSIBILITIES

• 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.

REQUIREMENTS

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience).
• 5+ years of professional software development experience using C# and the .NET platform.
• Strong experience developing modern web applications using ASP.NET Core, Web APIs, and front-end frameworks such as React, Angular, or Blazor.
• Experience designing reusable software components and enterprise application architectures.
• Knowledge of AI and machine learning concepts, including LLMs, prompt engineering, vector databases, embeddings, and AI orchestration frameworks.
• Experience integrating Azure OpenAI, Microsoft Copilot Studio, Azure AI Services, OpenAI APIs, Anthropic Claude APIs, or similar AI platforms.
• Strong understanding of relational and non-relational database technologies including SQL Server, PostgreSQL, Cosmos DB, or similar platforms.
• Experience with source control systems such as Git and collaborative development workflows.
• Understanding of object-oriented programming principles, software design patterns, and secure coding practices.
• Strong troubleshooting, analytical, and problem-solving capabilities.
• Self-motivated, requires little direct supervision or assistance to complete tasks.
• Able to contribute to a team-oriented, collaborative environment.
• Passionate about learning, embracing new technologies, and solving complex business challenges.

PREFERRED QUALIFICATIONS

• Experience with Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, Semantic Kernel, LangChain, or similar AI development frameworks.
• Experience developing Retrieval-Augmented Generation (RAG) solutions.
• Experience with Kubernetes, containers, and cloud-native application architectures.
• Knowledge of DevOps practices, CI/CD pipelines, Infrastructure as Code, and GitHub Actions or Azure DevOps.
• 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.

BENEFITS

• 401(k)
• 401(k) matching
• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible spending accounts
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Tuition reimbursement
• Vision insurance
• Pet insurance
• Employee discount program.