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.
Applyprompt engineeringandcontext engineeringto optimize agent behavior and model outputs.
Integrateretrieval-augmented generation (RAG)pipelines to enhance agent knowledge and responsiveness.
Leveragetool use orchestrationandaction planningto enable agents to interact with external systems and APIs.
Implementmemory managementstrategies for agents (episodic, semantic, and working memory).
Usestate management,goal tracking, andfeedback loopsto 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 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.
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.
