Full Stack .net Developer

Job Title: Full Stack Software EngineerWork Location: The Woodlands, TXEducation/Experience Required: 5–8 years of professional software development experience using .NET, C#, and PythonJob Description :Our Client is seeking a Full Stack Software Engineer to build and support scalable enterprise applications, with a strong focus on backend services for conversational and voice AI.Applications consist of backend services, APIs, integrations, and modern web interfaces to deliver AI-powered and customer-facing solutions.The ideal candidate is comfortable owning work end-to-end, from design through production and support. Responsibilities :Design, build, and support cloud-native solutions in AWS using secure and scalable architecture patterns.Develop backend microservices that power conversational and voice AI applications.Build modern user interfaces that create a positive customer experienceIntegrate applications with third-party APIs, SaaS platforms, telephony, and CCaaS/CPaaS platforms.Work with key components of voice AI applications, such as streaming audio, barge-in handling, retries, fallbacks, and transcript capture.Develop as part of an Agile team, utilizing CI/CD, automated testing, and IaC templates.Implement logging, metrics, alerting, and health checks to keep production services observable and reliable.Troubleshoot application and infrastructure issues across the stack. Skills & Qualifications :5–8 years of professional software development experience using .NET, C#, and PythonBachelor's degree in Computer Science, IT, or related field — or equivalent work experience.Strong understanding of REST APIs, microservices, and application integration patterns.Experience with cloud services and container-based deployments (AWS-preferred).Experience with agentic AI development tools and frameworks.Proficiency with at least one relational database technology.Experience with React and/or Angular, TypeScript, and modern frontend tooling.Familiarity with GitHub Actions or comparable CI/CD tooling and automated testing practices.Experience with conversational or voice AI systems (e.g. streaming audio, turn-taking, LLM orchestration).Familiarity with voice AI evaluation metrics and frameworksDisciplined approach to security and compliance, including handling of PII, customer account data, secrets, least privilege, auditability, and PCI-sensitive boundaries.