Full Stack AI Engineer

Job DescriptionJob Title: Full Stack Software Engineer\nWork Location: The Woodlands, TX or Vancouver or WA, or Knoxville, TN or Charlotte, NC (4 days in office)\nEducation/Experience Required: 5 years of professional software development experience using .NET, C#, and Python and must have some agentic AI experience\n\nJob Description :\n\n 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.\n Applications consist of backend services, APIs, integrations, and modern web interfaces to deliver AI-powered and customer-facing solutions.\n The ideal candidate is comfortable owning work end-to-end, from design through production and support.\n\nResponsibilities :\n\n Design, build, and support cloud-native solutions in AWS using secure and scalable architecture patterns.\n Develop backend microservices that power conversational and voice AI applications.\n Build modern user interfaces that create a positive customer experience\n Integrate applications with third-party APIs, SaaS platforms, telephony, and CCaaS/CPaaS platforms.\n Work with key components of voice AI applications, such as streaming audio, barge-in handling, retries, fallbacks, and transcript capture.\n Develop as part of an Agile team, utilizing CI/CD, automated testing, and IaC templates.\n Implement logging, metrics, alerting, and health checks to keep production services observable and reliable.\n Troubleshoot application and infrastructure issues across the stack.\n\nSkills & Qualifications :\n\n 5 years of professional software development experience using .NET, C#, and Python\n Bachelor's degree in Computer Science, IT, or related field — or equivalent work experience.\n Strong understanding of REST APIs, microservices, and application integration patterns.\n Experience with cloud services and container-based deployments (AWS-preferred).\n Experience with agentic AI development tools and frameworks.\n Proficiency with at least one relational database technology.\n Experience with React and/or Angular, TypeScript, and modern frontend tooling.\n Familiarity with GitHub Actions or comparable CI/CD tooling and automated testing practices.\n Experience with conversational or voice AI systems (e.g. streaming audio, turn-taking, LLM orchestration).\n Familiarity with voice AI evaluation metrics and frameworks\n Disciplined approach to security and compliance, including handling of PII, customer account data, secrets, least privilege, auditability, and PCI-sensitive boundaries.\n\n