▷ Immediate Start : AI LLM Research Engineer (TTS, M-LLM, Agentic Workflow)

Role Overview

FlashIntel is seeking a dedicated and innovative Research Engineer with a focus on Multimodal Large Language Models (m-LLMs), Text-to-Speech (TTS) technologies, and agentic workflows. This position offers a unique opportunity to engage in cutting-edge research and development of AI solutions that integrate various data modalities and enhance interactive systems. Ideal candidates are passionate about AI and Natural Language Processing (NLP) and eager to contribute to pioneering projects. Candidates pursuing a Master's or Ph.D. in relevant fields are preferred.

Key Responsibilities

• Research & Development :
• Assist in developing state-of-the-art m-LLMs and generative AI models that process and integrate multiple data modalities, including text, audio, and visual inputs.
• Design and conduct experiments to test new algorithms, architectures, and fine-tuning techniques for TTS applications and agentic workflows.
• Stay updated with the latest academic and industry advancements in m-LLMs, TTS, and AI agents to inform ongoing projects.
• Model Design & Optimization :
• Participate in developing, fine-tuning, and evaluating AI models for complex NLP tasks, with a focus on TTS and multimodal integration.
• Optimize models for scalability, efficiency, and deployment in real-world production systems, ensuring seamless interaction between components in agentic workflows.
• Experiment with novel methods in model training, domain adaptation, and performance evaluation to enhance the naturalness and responsiveness of TTS systems.
• Collaboration & Learning :
• Work closely with cross-functional teams, including product, engineering, and data science, to translate research insights into tangible products that utilize m-LLMs and TTS technologies within agentic workflows.
• Engage in a culture of learning and innovation, contributing to team knowledge sharing on m-LLMs, TTS, and AI agents.
• Collaborate with external research communities, potentially contributing to conferences and publications in the fields of m-LLMs, TTS, and agentic AI systems.

Required Qualifications

Preferred Qualifications