Hello
Full Stack SW Engineer - Angular / .NET / AI Foundry
Location: Houston, Texas (Onsite)
MS Fabric, C#.NET, Angular, Azure Foundry, Integrate AI/LLM capabilities into applications, including RAG patterns and/or chatbots.
Must have experience with AI development (RAG patterns OR Chatbot development) using .Net language
• Develop and maintain backend services using C# and .NET.
• Create and manage front-end components with Angular and/or React.
• Build and support a centralized, repeatable AI engineering framework.
• Contribute to the development of a modular, component-based architecture for reuse.
• Integrate AI/LLM capabilities into applications, including RAG patterns and chatbots.
• Develop agentic workflows and AI-powered developer platforms.
• Build reusable AI patterns and frameworks, working with Azure AI Foundry.
• Support the evaluation, testing, and governance of AI systems.
Required Qualifications
Experience:
• Experience in full stack engineering, with backend development in C# or .NET.
• Frontend development skills in Angular and/or React.
• Experience with component-based, modular architecture.
• Familiarity with AI/LLM concepts and their integration into applications, including RAG patterns or chatbot development.
• Hands-on experience developing RAG applications, chatbots, and agentic workflows.
• Experience with Azure AI Foundry and building reusable AI patterns.
Technical Skills:
• Proficiency in C#, .NET, and Angular.
• Understanding of the Azure ecosystem, including pipelines and services.
• Knowledge of prompt orchestration and AI application architecture.
• Understanding of model management, automation, and LLM lifecycle management.
Soft Skills:
• Communication and collaboration skills.
• Ability to adapt and be flexible across different teams and tasks.
Preferred Qualifications
• Experience with Azure AI services such as Azure AI Search.
• Familiarity with AI orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Knowledge of agent-based architectures and memory integration patterns in AI systems.
• Experience building internal platforms or developer frameworks.
• Experience creating reusable AI accelerators and reference architectures.