Full Stack Engineer (.net/react)

Education/Experience Required: 5 years of professional software development experience using .NET, C#, and Python and must have some agentic AI experience, * 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

• 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

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• 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

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