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 requirements and deliver solutions
Conduct code and model reviews, ensuring adherence to best practices and Omilia standards
Monitor system performance, troubleshoot issues, and drive continuous improvement
Stay abreast of advancements in LLMs, NLU, and AI, evaluating and integrating relevant technologies
Provide technical mentorship and guidance to team members
Requirements Advanced degree in Computer Science, Computational Linguistics, or related field
Proven experience in designing, developing, and deploying LLM-bas

📌 Text & Reasoning LLM / NLU Tech Lead (Madrid)
🏢 Omilia
📍 Madrid