Text & Reasoning LLM / NLU Tech Lead

Role Purpose Lead the design, development, and delivery of advanced Natural Language Understanding (NLU) solutions leveraging Large Language Models (LLMs) for text and reasoning tasks. Ensure technical excellence, innovation, and alignment with Omilia ’s strategic objectives in conversational AI. Accountabilities Technical Correctness: Own the technical integrity and quality of NLU solutions, ensuring robust, scalable, and maintainable code and models. System Quality: Oversee architectural decisions, code reviews, and best practices for LLM-based NLU systems. Delivery Monitoring: Ensure timely and successful delivery of NLU features and improvements, proactively identifying and mitigating risks. Autonomy: Operate with high independence, making critical technical decisions and setting standards for the team. Scope & Complexity: Lead initiatives involving complex reasoning, multi-turn dialogue, and advanced text understanding, often spanning multiple projects or products. Impact: Drive measurable improvements in NLU accuracy, performance, and customer satisfaction. Influence/Mentorship: Mentor engineers and data scientists, fostering a culture of technical excellence and continuous learning. Key Responsibilities Design and implement state-of-the-art LLM-based NLU models for text and reasoning tasks. Lead technical discussions, architecture reviews, and solution design sessions. Collaborate with cross-functional teams (Product, Data Science, Engineering) to define requiremen