First seen by our source: 4 hours ago
Developer – Large Audio Language Models (LALMs) & End-to-End Speech-to-Speech Systems
@ TOSAN TECHNO | توسنتکنو
Toronto, Ontario
Overview
TOSAN TECHNO is hiring a full-time AI engineer to build production speech-to-speech systems using large audio language models and LLMs. The work covers integrating speech recognition, language understanding and speech synthesis, fine-tuning models, and deploying them in cloud backends. A master's or PhD in computer engineering or AI, plus strong Python and deep learning skills, are required.
Responsibilities:
- Design and implement speech-to-speech systems integrating ASR, LLMs and TTS
- Fine-tune and optimize LLMs and LALMs for real applications
- Build scalable speech and language data pipelines
- Evaluate and benchmark voice agents
- Integrate models into backend systems and deploy in the cloud
Requirements summary:
- Master's or PhD, or equivalent experience, in computer engineering or AI
- Strong Python programming
- Hands-on experience with TensorFlow or PyTorch
- Expertise in LLMs, ASR and TTS
- Experience with LangChain, LangGraph or similar tools
- Backend, API, database and Docker experience
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- Not provided
- First seen by our source
- 2026-11-14
- Source record updated
- 2026-11-14
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Computer Engineering, Artificial Intelligence |
Summary and details written by AI from the posting; the employer’s posting is the authority.
TOSAN TECHNO | توسنتکنو
| Field | Value |
|---|---|
| Open jobs on Jobsy | 1 |
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 modern 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)
- 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)
- 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
- 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
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.
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