We are seeking a highly skilled and motivated AI Engineer to design, develop, and deploy advanced solutions using Large Audio Language Models (LALMs) and end-to-end Speech-to-Speech (S2S) systems. This role focuses on building real-world, production-ready applications that integrate speech recognition, language understanding, and speech synthesis into seamless voice-driven experiences.

You will work at the intersection of AI, deep learning, and speech technologies, contributing to innovative products rather than purely theoretical research.

Key Responsibilities

- Design and implement end-to-end speech-to-speech systems integrating ASR, LLMs, and TTS components
- Develop and optimize Large Language Models (LLMs) and Large Audio Language Models (LALMs) for real-world applications
- Build scalable pipelines for speech and language data processing, including data collection, augmentation, and preprocessing
- Fine-tune models on domain-specific datasets to improve performance and contextual accuracy
- Evaluate and benchmark voice agents using contemporary frameworks and real-world conversational data
- Apply prompt engineering techniques to enhance model responses and system behavior
- Integrate AI models into backend systems and deploy them in cloud environments
- Collaborate with cross-functional teams (product, engineering, and research) to deliver production-grade solutions
- Continuously optimize models for latency, scalability, and quality (speech intelligibility and language accuracy)

Required Qualifications
- Master’s or PhD (or equivalent experience) in Computer Engineering, Artificial Intelligence.Strong programming skills in Python.




- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch
- Solid understanding of neural networks and deep learning techniques for speech and language processing
- Expertise in Large Language Models (LLMs), speech recognition (ASR), and text-to-speech (TTS) systems
- Experience with end-to-end speech-to-speech architectures and multimodal AI systems
- Knowledge of prompt engineering and model fine-tuning techniques
- Familiarity with tools and frameworks such as LangChain, LangGraph, or similar orchestration tools
- Experience with backend systems, APIs, databases, and containerization (e.g., Docker)

Preferred Skills
- Experience with evaluation frameworks for voice agents (e.g., EVA or similar tools)
- Strong understanding of model evaluation metrics for speech quality, accuracy, and contextual relevance
- Experience handling large-scale datasets and building efficient data pipelines
- Knowledge of speech data augmentation techniques
- Ability to rapidly learn and apply emerging AI technologies

Core Competencies
- Strong problem-solving and optimization skills
- Hands-on, product-focused mindset with a passion for building real-world AI solutions
- Attention to detail, with a structured and methodical approach to development and documentation
- Strong communication and collaboration skills across technical and non-technical teams
- Ability to work independently while contributing effectively in a team environment

Why Join Us?This is a unique opportunity to work at the forefront of AI innovation, shaping the future of speech-to-speech systems and intelligent voice applications. You will play a key role in building next-generation AI products that have real-world impact.

📌 Developer – Large Audio Language Models (LALMs) & End-to-End Speech-to-Speech Systems (Toronto)
🏢 TOSAN TECHNO | توسنتکنو
📍 Toronto