AI Full-Stack Software Developer

Jefferson Capital, Inc.; Sartell (MN); Presencial; USD 120 000 - 180 000; Tempo integral

Resumo da oferta

Jefferson Capital, Inc. seeks an experienced software engineer to design and build modern full-stack applications using C#, .NET, ASP.NET Core, React, Angular, and Blazor, with a focus on AI-powered features.

You will develop AI solutions, integrate with Azure AI Foundry, LangChain, and vector databases, and ensure scalable, secure APIs; collaboration with stakeholders and reviews are expected.

Qualificações

• Experience designing and developing full-stack applications with modern frameworks.
• Experience integrating AI capabilities into enterprise software solutions.
• Experience building secure, scalable REST APIs and microservices.
• Experience with cloud AI services, vector databases, and AI governance.

Responsabilidades

• Design, develop, and maintain modern full-stack applications using C#, .NET, ASP.NET Core, React, Angular, Blazor.
• Build reusable software components, APIs, services, and frameworks for enterprise app development.
• Develop and integrate AI solutions, including Generative AI and Retrieval-Augmented Generation (RAG).
• Create secure and scalable REST APIs and microservices that support AI-powered business applications.
• Collaborate with stakeholders and cross-functional teams to apply AI for efficiency and decision-making.
• Design front-end experiences with conversational AI, intelligent recommendations, and automation workflows.
• Integrate data sources with AI platforms and vector databases in cloud environments.
• Optimize 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.
• Implement testing strategies, monitoring, logging, and observability for production apps.
• Stay current on AI technologies, cloud services, and software engineering best practices.
• Contribute to AI governance, security, data privacy, and responsible AI initiatives.

Conhecimentos

C#

.NET

ASP.NET Core

React

Angular

Blazor

REST APIs

Microservices

CI/CD

Azure

Ferramentas

Azure AI Foundry

Azure OpenAI

Microsoft Copilot Studio

Semantic Kernel

LangChain

Kubernetes

Pinecone

Weaviate

Qdrant

GitHub Actions

Azure DevOps

Descrição da oferta de emprego

• 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, 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.