Expert Developer for Advanced Virtual Receptionist System - Contract to Hire
We are in search of an expert developer with substantial experience in building advanced virtual receptionist systems. This project requires the integration of Asterisk, Text-to-Speech (TTS) technology, and Large Language Models (LLMs) to create a cutting-edge digital receptionist. The ideal candidate will have a proven track record of working on similar high-level projects and possess a deep... understanding of the necessary technologies.
Responsibilities:
- Develop a sophisticated virtual receptionist system that can handle incoming calls and provide intelligent, natural-sounding responses.
- Configure and manage the Asterisk PBX system to handle call routing and processing.
- Integrate state-of-the-art TTS technology to ensure clear and natural speech output.
- Implement and fine-tune LLMs to understand and respond to a wide range of caller inquiries.
- Ensure the system is reliable, scalable, and secure, capable of handling high call volumes.
- Collaborate with our team to refine system features and functionality based on feedback and testing.
Provide comprehensive documentation and support for the system.
Requirements:
- Advanced Asterisk Knowledge: Extensive experience in configuring and managing Asterisk PBX systems.
- TTS Expertise: Proven experience with high-quality TTS solutions and their integration into telephony systems.
- LLM Proficiency: Strong background in working with and optimizing large language models (e.g., GPT-4).
- Programming Skills: Expertise in relevant programming languages such as Python and JavaScript.
- AI and Machine Learning: Deep understanding of AI and machine learning principles, specifically in natural language processing.
- Problem-Solving Abilities: Exceptional skills in diagnosing and resolving complex system issues.
- Communication Skills: Ability to clearly document processes and explain technical concepts.
Preferred Qualifications:
- Previous experience developing virtual receptionist or virtual assistant systems.
- Familiarity with cloud services like AWS or Google Cloud.
- Experience with NLP technologies and conversational AI.
- Strong understanding of security best practices in telephony and AI systems
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