This role involves working with state-of-the-art speech recognition, speech synthesis, voice streaming, and AI agent frameworks to create scalable voice solutions for customer service, sales, finance, and automation applications. This is an on-site position with no relocation assistance provided. If you're passionate about conversational AI and enjoy solving challenging engineering problems, we'd love to hear from you. • Responsibilities • Design and develop real-time voice-to-voice AI agents. • Build conversational AI systems using LLMs and agent frameworks. • Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) technologies into production applications. • Optimize latency and streaming performance for natural conversations. • Develop backend services and APIs using Python and C#/.NET. • Integrate with telephony, voice streaming, and communication platforms. • Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. • Collaborate with product managers, AI engineers, and software developers to deliver production-ready AI solutions. • Evaluate emerging AI models, speech technologies, and voice platforms. • Monitor, troubleshoot, and continuously improve voice agent performance and reliability. Required Qualifications • Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. • 5+ years of professional software engineering experience. • Hands-on experience building voice-to-voice AI applications. • Strong understanding of: • Speech Recognition (Automatic Speech Recognition - ASR) • Speech Synthesis (Text-to-Speech - TTS) • Voice Activity Detection (VAD) • Audio streaming and low-latency communication • Professional experience with Python and C#/.NET. • Experience consuming AI APIs and working with LLMs. • Experience building REST APIs and microservices. • Knowledge of asynchronous programming, event-driven architectures, and real-time streaming. • Strong debugging, analytical, and problem-solving skills. Preferred Qualifications Experience with one or more of the following: • Real-time conversational AI platforms • AI agent frameworks • Retrieval-Augmented Generation (RAG) • Vector databases • Prompt engineering and evaluation • WebRTC, SIP, RTP, or telephony integrations • Azure AI, Azure OpenAI, or other cloud AI services • Docker and Kubernetes CI/CD pipelines and cloud-native application development