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.
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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