Chatbot Tester Jobs in Spring, TX (NOW HIRING)

Sr. Full stack SW Engineer | Houston, Texas, United States 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 - Develop and maintain robust backend services using C# and .NET. - Design, implement, and manage front-end modules with Angular and/or React. - Architect and support centralized, reusable AI engineering frameworks. - Integrate AI/LLM capabilities into applications, focusing on RAG patterns and chatbot development. - Develop agentic workflows and AI-powered developer platforms. - Build modular, component-based solutions for maximum scalability and reuse. - Collaborate in evaluating, testing, and governing AI systems. - Work closely with Azure AI Foundry for reusable AI patterns and frameworks. Required Skills and Experience - Proven experience in full stack engineering with backend focus on C# or .NET. - Strong front-end development in Angular and/or React. - Expertise in component-based, modular architecture. - Hands-on experience with AI/LLM integration, including RAG patterns or chatbot creation. - Skilled in developing RAG applications, chatbots, and agentic workflows. - Proficiency with Azure AI Foundry for building AI patterns. - Technical competency in C#, .NET, Angular, and Azure ecosystem (pipelines and services). - Understanding of AI application architecture, prompt orchestration, and LLM lifecycle management. - Strong communication and team collaboration skills. - Flexible and adaptable across varied teams and project scopes. Preferred Skills - Experience with Azure AI Search and other Azure AI services. - Familiarity with AI orchestration frameworks (Semantic Kernel, LangChain, AutoGen). - Knowledge of agent-based architectures and memory integration in AI systems. - Background in building internal developer platforms or reusable AI accelerators. Benefits - Opportunity to work on pioneering AI engineering projects. - Exposure to cutting-edge AI/LLM technologies and frameworks. - Collaborative, innovative work environment. - Career growth in a high-demand AI engineering niche. 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.