Developer – Large Audio Language Models (LALMs) & End-to-End Speech-to-Speech Systems

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)

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.