Enter a job title or keyword

Senior Software Developer(Full Stack) .Net with AI focus- Hybrid 3 days

Simple Solutions


Job Location:

Dallas, IA - USA

Monthly Salary: USD 60 - 70
Experience Required: 10years
Posted: 28 August 2026 (2 hours ago)
Application Deadline: 25 November 2026
Vacancies: 1 Vacancy

Job Summary

Senior Software Developer(Full Stack) .Net C# & AI focus - Hybrid 3 days

  • Job Title: Senior Software Engineer - AI
  • Duration: 6 months Contract-to-hire
  • Location: Hybrid Onsite Coppell TX
  • USC and GC


We are seeking a highly skilled and forward-thinking Senior Software Engineer with over 9 years of experience in designing and developing enterprise-grade solutions using .NET and C# and at least 1-2 years of hands-on experience building AI solutions and intelligent agents on the Microsoft platform. The ideal candidate will be passionate about leveraging Prompt Engineering Context Engineering RAG Vectorization & Indexing and modern AI techniques to drive innovation and efficiency across our technology stack.


Key Responsibilities

  • Design develop and maintain /C# applications and services.
  • Design and implement AI-powered solutions using Microsoft Azure AI services including Azure OpenAI Azure AI Foundry Cognitive Services and Microsoft Agent Framework.
  • Build and deploy intelligent agents that integrate with enterprise systems and workflows.
  • Apply prompt engineering and context engineering to optimize agent behavior and model outputs.
  • Integrate retrieval-augmented generation (RAG) pipelines to enhance agent knowledge and responsiveness.
  • Leverage tool use orchestration and action planning to enable agents to interact with external systems and APIs.
  • Implement memory management strategies for agents (episodic semantic and working memory).
  • Use state management goal tracking and feedback loops to support autonomous decision-making.
  • Evaluate and verify AI agents using various techniques and tools.
  • Collaborate with cross-functional teams including product managers data scientists and DevOps to deliver high-impact solutions.
  • Conduct code reviews mentor junior engineers and contribute to best practices in software development and AI integration.
  • Stay current with emerging technologies and trends in AI machine learning and software engineering.


Required Qualifications

  • Bachelors or Masters degree in Computer Science Engineering or related field.
  • 9 years of experience in software development and C#.
  • 1 years of experience developing AI solutions and agents using Microsoft technologies.
  • Strong understanding of prompt engineering context engineering and LLM-based architectures.
  • Experience with RESTful APIs microservices and cloud-native development.
  • Familiarity with CI/CD pipelines Git and agile methodologies.
  • Excellent problem-solving communication and collaboration skills.


Preferred Qualifications

  • Experience with Azure OpenAI Azure AI Foundry Semantic Kernal Framework AutoGen Lang Graph Machine Learning or other Microsoft AI platforms.
  • Knowledge of NLP generative AI and conversational agent design.
  • Certifications in Microsoft Azure or AI-related technologies.
  • Contributions to open-source projects or technical blogs.






Required Skills:

and C# Software Engineer with min 1-2 years of hands-on experience building AI solutions and intelligent agents on the Microsoft Platforms Required Qualifications The ideal candidate will be passionate about leveraging Prompt Engineering Context Engineering RAG Vectorization & Indexing and modern AI techniques to drive innovation and efficiency across our technology stack. Key Responsibilities Design develop and maintain /C# applications and services. Design and implement AI-powered solutions using Microsoft Azure AI services including Azure OpenAI Azure AI Foundry Cognitive Services and Microsoft Agent Framework. Build and deploy intelligent agents that integrate with enterprise systems and workflows. Apply prompt engineering and context engineering to optimize agent behavior and model outputs. Integrate retrieval-augmented generation (RAG) pipelines to enhance agent knowledge and responsiveness. Leverage tool use orchestration and action planning to enable agents to interact with external systems and APIs. Implement memory management strategies for agents (episodic semantic and working memory). Use state management goal tracking and feedback loops to support autonomous decision-making. Evaluate and verify AI agents using various techniques and tools. Collaborate with cross-functional teams including product managers data scientists and DevOps to deliver high-impact solutions. Conduct code reviews mentor junior engineers and contribute to best practices in software development and AI integration. Stay current with emerging technologies and trends in AI machine learning and software engineering. Required Qualifications Bachelors or Masters degree in Computer Science Engineering or related field. 9 years of experience in software development and C#. 1 years of experience developing AI solutions and agents using Microsoft technologies. Strong understanding of prompt engineering context engineering and LLM-based architectures. Experience with RESTful APIs microservices and cloud-native development. Familiarity with CI/CD pipelines Git and agile methodologies. Excellent problem-solving communication and collaboration skills. Preferred Qualifications Experience with Azure OpenAI Azure AI Foundry Semantic Kernal Framework AutoGen Lang Graph Machine Learning or other Microsoft AI platforms. Knowledge of NLP generative AI and conversational agent design. Certifications in Microsoft Azure or AI-related technologies. Contributions to open-source projects or technical blogs.


Required Education:

Masters Preferred