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Innosystech

2 jobs near Columbus, OH

Software Engineer - AI (Azure)

Innosystech Inc

Coppell, TX • On-site

Contractor

Posted 2 days ago

New

Job description

Job Title: Senior Software Engineer - AI (Azure)

Location: Coppell, TX

Work Authorization: USC or GC only

Work Model: Onsite

Work Authorization : USC or GC only. No other visa types please

Duration: 6 months Contract-to-hire

Must Haves

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 9+ years of experience in software development using .NET 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.

Experience & Skill Set Requirements

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.

Key Responsibilities

  • Design, develop, and maintain scalable .NET/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.