LLM-NLU Tech Lead: Architect & Scale Advanced Reasoning

Omilia; España; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Apple gear

Long-term employment

Professional growth (courses, training

Vacation and flexible time off

Job summary

Omilia is seeking a senior architect for NLU design and delivery of advanced LLM-based understanding solutions. You will lead architecture discussions, collaborate with cross-functional teams, and ensure high-quality code and models across projects.

The role emphasizes technical independence, mentorship, and ongoing exploration of state-of-the-art NLP/AI advancements to improve NLU accuracy and customer outcomes.

Qualifications

• Advanced degree in Computer Science, Computational Linguistics, or related field.
• Proven experience designing, developing, and deploying LLM-based NLU systems.
• Strong knowledge of NLP, ML, and reasoning algorithms.

Responsibilities

• Design and implement state-of-the-art LLM-based NLU models for text and reasoning tasks.
• Lead architecture reviews and solution design sessions.
• Collaborate with Product, Data Science, and Engineering to define requirements.
• Conduct code and model reviews ensuring best practices and Omilia standards.
• Monitor performance, troubleshoot issues, and drive continuous improvement.
• Stay updated on LLM/NLU advancements and integrate relevant tech.
• Provide technical mentorship and guidance to team members.

Skills

NLP expertise

Python

ML frameworks

Leadership

Mentorship

Education

Advanced degree in CS or Computational Linguistics

Tools

PyTorch

TensorFlow

HuggingFace

Job description

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.

• Advanced degree in Computer Science, Computational Linguistics, or related field.
• Proven experience in designing, developing, and deploying LLM-based NLU systems.
• Deep understanding of NLP, machine learning, and reasoning algorithms.
• Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace).
• Experience with cloud platforms and scalable architectures.
• Strong problem-solving, communication, and leadership skills.
• Track record of technical mentorship and driving impactful results in AI/NLU projects.

Omilia Note

- Contribute actively and effectively as an integrated team member.
- Act as an Omilia ambassador in all interactions.

• Fixed compensation;
• Long-term employment with the working days vacation;
• Development in professional growth (courses, training, etc);
• Being part of successful cutting-edge technology products that are making a global impact in the service industry;
• Proficient and fun-to-work-with colleagues;
• Apple gear

Apply Now to join Omilia and help engineer the future of conversational AI.

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.