Dotnet Developer

Yotta Systems Inc; Dallas (TX); On-site; USD 95,000 - 130,000; Full time

Job summary

Yotta Systems Inc. is seeking a .NET Developer with AI/Generative AI experience to design, develop, and maintain scalable applications using the Microsoft .NET stack.

You will build RESTful APIs, microservices, and data integrations, while exploring AI/LLM features in Azure OpenAI and related platforms. You should have hands-on C#, .NET Core/.NET 6+, SQL Server, and experience integrating AI capabilities such as RAG, embeddings, and vector search into production systems.

Qualifications

• 3–5 years of professional software development experience.
• Strong experience with C#.
• Strong experience with .NET Core / .NET 6/7/8.
• ASP.NET Core / Web API.
• REST APIs.
• SQL Server.
• Entity Framework / EF Core.
• Object-Oriented Programming and design patterns.
• Unit testing and debugging.
• Experience with Azure or AWS.

Responsibilities

• Design, develop, test, and maintain applications using C# and .NET Core/.NET 6+.
• Develop scalable and secure RESTful APIs and microservices.
• Build and integrate AI/Generative AI capabilities into .NET applications.
• Work with Azure OpenAI, OpenAI APIs, or other LLM platforms to develop AI-powered features.
• Develop AI use cases such as chatbots, document processing, summarization, classification, recommendation, and intelligent search.
• Implement RAG solutions using vector databases/search technologies.
• Integrate applications with databases, external APIs, and cloud services.
• Work with SQL Server and develop efficient queries, stored procedures, and database integrations.
• Participate in application design, code reviews, testing, debugging, and performance optimization.
• Collaborate with AI/ML engineers, architects, DevOps, and business teams.
• Follow secure coding, version control, CI/CD, and Agile development practices.

Skills

C#

.NET Core / .NET 6/7/8

ASP.NET Core / Web API

REST APIs

SQL Server

Entity Framework

OOP & design patterns

Unit testing

Azure

AWS

AI/LLM integration

OpenAI APIs

Generative AI

RAG

Vector search

Python

Job description

We are looking for a .NET Developer with AI/Generative AI experience to design, develop, and maintain scalable applications using the Microsoft .NET technology stack. The ideal candidate will have strong hands-on experience with C#, .NET Core/.NET 6+, Web API, SQL Server, along with exposure to AI/ML, Generative AI, or LLM-based application development.

Key Responsibilities

• Design, develop, test, and maintain applications using C# and .NET Core/.NET 6+.
• Develop scalable and secure RESTful APIs and microservices.
• Build and integrate AI/Generative AI capabilities into .NET applications.
• Work with Azure OpenAI, OpenAI APIs, or other LLM platforms to develop AI-powered features.
• Develop AI use cases such as chatbots, document processing, summarization, classification, recommendation, and intelligent search.
• Implement RAG (Retrieval-Augmented Generation) solutions using vector databases/search technologies.
• Integrate applications with databases, external APIs, and cloud services.
• Work with SQL Server and develop efficient queries, stored procedures, and database integrations.
• Participate in application design, code reviews, testing, debugging, and performance optimization.
• Collaborate with AI/ML engineers, architects, DevOps, and business teams.
• Follow secure coding, version control, CI/CD, and Agile development practices.

Required Skills

• 3–5 years of professional software development experience
• Strong experience with C#
• Strong experience with .NET Core / .NET 6/7/8
• ASP.NET Core / Web API
• REST APIs
• SQL Server
• Entity Framework / Entity Framework Core
• Object-Oriented Programming and design patterns
• Unit testing and debugging
• Experience with Azure or AWS

AI / GenAI Requirements

• Hands-on experience integrating AI/LLM capabilities into applications.
• Experience with one or more:
• OpenAI APIs
• Generative AI
• LLMs
• Prompt Engineering
• RAG
• Semantic Search
• AI Agents
• Understanding of embeddings, vector search, and LLM APIs is preferred.
• Experience with Python for AI/ML integration is a plus.