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About the role
Sr. Full Stack Software Engineer – Angular / .NET / AI Foundry Location: Houston, Texas (Onsite) | Job Type: C2C
About the Role
Join a high-impact team building foundational AI frameworks for scalable, reusable solutions. As a Senior Full Stack Software Engineer, you’ll drive standardization in AI/LLM development and help architect next-generation RAG and chatbot platforms. You’ll be instrumental in delivering modular engineering components and collaborating across teams to enable platform excellence.
Responsibilities
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Develop and maintain robust backend services using C# and .NET.
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Design, implement, and manage front-end modules with Angular and/or React.
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Architect and support centralized, reusable AI engineering frameworks.
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Integrate AI/LLM capabilities into applications, focusing on RAG patterns and chatbot development.
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Develop agentic workflows and AI-powered developer platforms.
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Build modular, component-based solutions for maximum scalability and reuse.
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Collaborate in evaluating, testing, and governing AI systems.
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Work closely with Azure AI Foundry for reusable AI patterns and frameworks.
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Required Skills and Experience
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Proven experience in full stack engineering with backend focus on C# or .NET.
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Strong front-end development in Angular and/or React.
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Expertise in component-based, modular architecture.
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Hands-on experience with AI/LLM integration, including RAG patterns or chatbot creation.
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Skilled in developing RAG applications, chatbots, and agentic workflows.
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Proficiency with Azure AI Foundry for building AI patterns.
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Technical competency in C#, .NET, Angular, and Azure ecosystem (pipelines and services).
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Understanding of AI application architecture, prompt orchestration, and LLM lifecycle management.
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Strong communication and team collaboration skills.
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Flexible and adaptable across varied teams and project scopes.
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Preferred Skills
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Experience with Azure AI Search and other Azure AI services.
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Familiarity with AI orchestration frameworks (Semantic Kernel, LangChain, AutoGen).
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Knowledge of agent-based architectures and memory integration in AI systems.
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Background in building internal developer platforms or reusable AI accelerators.
Benefits
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Opportunity to work on pioneering AI engineering projects.
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Exposure to cutting-edge AI/LLM technologies and frameworks.
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Collaborative, innovative work environment.
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Career growth in a high-demand AI engineering niche.
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How to Apply Interested candidates should submit their resume with a detailed account of relevant AI/LLM and full stack development experience. Only candidates authorized to work without sponsorship will be considered.
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