Drive-Thru Voice AI Engineer - Build & Fine-Tune LLMs

Omilia; España; Remote; EUR 42,000 - 68,000; Full time

Benefits offered by this job

24 days annual leave

MacBook Pro provided

Annual 360-degree performance apprais

Onboarding buddy system

Extensive course library

Claude Enterprise subscription

Job summary

Omilia is seeking an AI Developer / Software Engineer to evolve the Drive-Thru Voice AI for Quick Serve Restaurants. You will work across engineering, AI/LLM development, conversation analysis, and customer work on a live system used at scale in thousands of restaurants.

You will balance responsibilities across engineering, AI/LLM prototyping, and customer work, collaborating with clients and internal teams to deliver robust features on demanding deadlines.

Qualifications

• Bachelor's degree in Computer Science, Computational Linguistics, Natural Language Processing, or related field.
• At least 1 year of experience as a Software Developer or AI Engineer.
• Excellent command of spoken and written English.
• Excellent communication skills; customer-facing.
• Ambition, enthusiasm and eagerness to learn; strong analytical and creative thinking; sharp attention to detail.
• Able to work under demanding deadlines.

Responsibilities

• Develop features for the Drive-Thru Voice AI solution and fix bugs across the product.
• Prototype AI features and fine-tune LLMs for voice ordering.
• Review real dialogs and assess performance to improve accuracy and UX.
• Gather business requirements from customers and implement application logic.
• Coordinate across engineering, AI/LLM, conversation analysis, and customer work.

Skills

English fluency

Communication skills

Analytical thinking

Attention to detail

Customer-facing

Education

BSc in Computer Science / NLP / related field

Tools

GitLab

CI/CD

Spring Framework

REST

SQL

Java 17

Job description

Omilia is seeking an AI Developer / Software Engineer to evolve the Drive-Thru Voice AI for Quick Serve Restaurants. You will work across engineering, AI/LLM development, conversation analysis, and customer work on a live system used at scale in thousands of restaurants.

You will balance responsibilities across engineering, AI/LLM prototyping, and customer work, collaborating with clients and internal teams to deliver robust features on demanding deadlines.