AI/ML Engineer

Role Overview:

We are seeking an experienced Voice Agent Developer with a strong background in Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech (TTS), and Speech Recognition. The successful candidate will be responsible for designing, developing, and deploying a high-performance voice agent system. You will work closely with our frontend team to ensure seamless integration and exceptional user experience.

Key Responsibilities:

• Design and develop an intelligent voice agent using LLMs (such as OpenAI, GPT, or similar models).

• Integrate Text-to-Speech (TTS) using Eleven Labs or other advanced TTS systems.

• Implement Speech Recognition using Whisper API or other leading ASR (Automatic Speech Recognition) technologies.

• Develop real-time voice interaction logic with user-friendly voice input and output.

• Optimize voice agent performance for low-latency, high-accuracy interactions.

• Implement context management to maintain coherent user conversations.

• Work closely with the frontend development team to integrate the voice agent with a user-friendly interface.

• Ensure robust error handling and fallback mechanisms for voice interactions.

• Conduct extensive testing for voice quality, response accuracy, and latency.

• Stay up-to-date with the latest advancements in NLP, LLMs, and speech technologies.

Required Skills and Qualifications:

• Proven experience in building voice agents or voice-based applications using LLMs.

• Proficiency in Python, Node.js, or a similar programming language for backend development.

• Strong understanding of Natural Language Processing (NLP) and Natural Language Understanding (NLU).

• Hands-on experience with LLMs (OpenAI GPT, GPT-4, GPT-4-turbo, or similar).

• Expertise in Text-to-Speech (TTS) systems (e.g., Eleven Labs, Google TTS).

• Proficiency with Speech Recognition APIs (e.g., Whisper, Google Speech API).

• Experience in deploying and scaling voice agents on cloud platforms (AWS, GCP, Azure).

• Familiarity with WebSocket, RESTful APIs, and real-time communication protocols.

• Strong problem-solving and debugging skills.

• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience with real-time voice interaction applications.

• Familiarity with voice modulation and voice character customization.

• Previous experience with voice-based customer support systems.

• Knowledge of Docker, Kubernetes, and cloud-based deployment.