Dot Net fullstack developer with AI

Accord Technologies Inc.; Charlotte (NC); On-site; USD 90,000 - 150,000; Full time

Job summary

Accord Technologies Inc. seeks an experienced Dot Net Full Stack Developer with AI for designing and delivering enterprise-scale applications.

The role requires hands-on work across front-end and back-end, including AI-driven features, cloud integration on Azure, and modern API-oriented architectures. You will collaborate with architects, product teams, and stakeholders to translate business needs into scalable technical solutions.

Qualifications

• Experience with .NET Core/.NET 6/7/8 and ASP.NET MVC.

Responsibilities

• Design, develop, and maintain enterprise-grade apps with .NET Core/.NET 8 and Angular.
• Build and consume RESTful APIs, Microservices, and Web Services.
• Develop AI-powered apps using Python, LangGraph, LangChain, and LLMs.
• Design multi-agent workflows, AI orchestration, and RAG solutions.
• Integrate AI services with enterprise platforms and business apps.
• Develop responsive front-ends with Angular, TS, HTML5, CSS3, Bootstrap.
• Work with Azure cloud-native services (App Services, Functions, Azure OpenAI) and CI/CD.
• Collaborate with stakeholders to translate requirements into technical solutions.

Skills

C# / .NET

Angular / TypeScript

Python for AI/ML

AI/LLM integration

Microservices & API design

Azure cloud & OpenAI services

Git / CI/CD / Azure DevOps

OAuth2 / JWT / Azure AD security

Tools

LangGraph

LangChain

AI Agents

Agentic Workflows

LLM integrations

Azure OpenAI

OpenAI APIs

Vector Databases

Docker

Kubernetes

SQL Server

Stored procedures

Query optimization

API Gateway

CI/CD pipelines

Azure DevOps

OAuth2 / JWT / Azure AD

Job description

Position: Dot Net Full Stack Developer with AI
Location : Charlotte NC
Position type: W2 contract

Our challenge

We are seeking an experienced .NET Full Stack Developer with strong expertise in Angular, Python, and AI application development using LangGraph/LangChain frameworks. The ideal candidate will be responsible for designing, developing, and deploying scalable enterprise applications while integrating AI-driven solutions and agentic workflows. This role requires hands-on experience across front-end, back-end, cloud technologies, API development, and modern AI frameworks.

Responsibilities:

• Design, develop, and maintain enterprise-grade applications using .NET Core/.NET 8, C#, and Angular.
• Build and consume RESTful APIs, Microservices, and Web Services.
• Develop AI-powered applications using Python, LangGraph, LangChain, and Large Language Models (LLMs).
• Design and implement multi-agent workflows, AI orchestration, and retrieval-augmented generation (RAG) solutions.
• Integrate AI services with enterprise platforms and business applications.
• Develop responsive and user-friendly front-end applications using Angular, TypeScript, HTML5, CSS3, and Bootstrap.
• Work with cloud-native services on Azure including App Services, Functions, Azure OpenAI, Storage, and CI/CD pipelines.
• Collaborate with business stakeholders, architects, and product teams to translate requirements into technical solutions.

Requirements:

• Strong experience with C#, .NET Core/.NET 6/7/8, ASP.NET MVC, and Web APIs.
• Hands-on experience with Angular (12+), TypeScript, JavaScript, HTML5, and CSS3.
• Proficiency in Python for AI/ML and backend development.
• Experience with LangGraph, LangChain, AI Agents, Agentic Workflows, and LLM integrations.
• Knowledge of Azure OpenAI, OpenAI APIs, Vector Databases, and RAG architectures.
• Experience with SQL Server, database design, stored procedures, and query optimization.
• Strong understanding of Microservices Architecture, API Gateway, and Event-Driven Design.
• Experience with Git, Azure DevOps, CI/CD pipelines, and Agile methodologies.
• Familiarity with authentication and security frameworks such as OAuth2, JWT, and Azure AD.

Preferred:

• Experience with Semantic Kernel or Microsoft AI ecosystem.
• Exposure to Prompt Engineering, AI Model Evaluation, and LLM Monitoring.
• Knowledge of Docker, Kubernetes, and Containerization.
• Experience in Banking, Financial Services, or Enterprise Digital Transformation projects.