NET Software Engineer - AI

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 year 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., * 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.

• 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.