About the Role

We’re looking for a Senior Software Engineer – AI with a strong background in .NET development and hands-on experience building intelligent systems using Microsoft Azure AI services. This role combines traditional software engineering with modern AI techniques to design, deploy, and optimize intelligent agents and enterprise-grade AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable .NET/C# applications and services.
• Architect and implement AI-powered solutions using Azure OpenAI, Azure AI Foundry, Cognitive Services, and the Microsoft Agent Framework.
• Build and deploy intelligent agents integrated with enterprise workflows and systems.
• Apply prompt and context engineering to optimize model behavior and outputs.
• Implement RAG (Retrieval-Augmented Generation) pipelines for improved knowledge retrieval and responsiveness.
• Enable tool use orchestration and action planning for agent interactions with APIs and external systems.
• Develop memory management strategies (episodic, semantic, working memory) to enhance agent reasoning.
• Manage state, goals, and feedback loops to support autonomous decision-making.
• Collaborate with product managers, data scientists, and DevOps teams to deliver scalable AI solutions.
• Conduct code reviews, mentor junior engineers, and promote best practices in AI integration.
• Stay current with evolving trends in AI, ML, and cloud-native software engineering.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• 9+ years of experience in .NET/C# software development.
• 1+ years of hands-on experience developing AI solutions or intelligent agents using Microsoft AI technologies.
• Solid understanding of prompt engineering, context management, and LLM-based architectures.
• Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel Framework, AutoGen, or LangGraph.
• Knowledge of NLP, generative AI, and conversational agent design.
• Microsoft certifications in Azure or AI-related technologies.
• Contributions to open-source projects or technical blogs.
• Strong experience with RESTful APIs, microservices, and cloud-native design patterns.
• Familiarity with CI/CD pipelines, Git, and Agile methodologies.
• Excellent communication, analytical, and collaboration skills.

• Artificial Intelligence Engineering
• Python
• .NET Application Development
• AI/ML & Data Science