LLM-NLU Tech Lead: Architect & Scale Advanced Reasoning

Omilia; Spain (TX); 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

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.