AI Developer / Software Engineer

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

Role Purpose

The AI Developer / Software Engineer helps evolve Omilia's Drive-Thru Voice AI solution for Quick Serve Restaurants. The role works across the whole product — engineering and AI/LLM development, conversation analysis, and customer work — on a live system used at scale in thousands of restaurants. The balance across these areas shifts with project needs.

Accountabilities

• Engineering — Build features, fix bugs, test and deploy releases, and integrate with client systems.
• AI/LLM — Prototype AI features, fine-tune LLMs for voice ordering, and turn them into production solutions.
• Conversation analysis — Review real dialogs, assess performance, and identify improvement opportunities.
• Customer work — Gather business requirements and build the application logic to meet them.
  

Key Responsibilities

• Build product features and fix bugs for the Drive-Thru Voice AI solution, including testing and deploying releases.
• Integrate with client systems as required for assigned work.
• Prototype AI features and fine-tune LLMs for voice ordering, turning promising prototypes into production solutions.
• Review real drive-thru dialogs, assess performance, and identify opportunities to improve accuracy and user experience.
• Work with customers and internal stakeholders to gather business requirements and implement the application logic that meets them.
• Shift effort across engineering, AI/LLM, conversation analysis, and customer work as project needs change.
• Communicate clearly in English in both technical and customer-facing contexts, and deliver within demanding deadlines.

Required:

• Academic degree in Computer Science, Computational Linguistics, Natural Language Processing, a related field, or equivalent experience.
• 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, with aptitude for analytical and creative thinking and sharp attention to detail.
• Accountable within demanding deadlines.
  

Nice to have:

• Experience with conversational automated dialog systems, either voice- or chat-based. Experience in any other production-level NLU/NLP solutions will also be considered a plus.
• Experience fine-tuning or training NLP/LLM models.
• Knowledge of embeddings, vector databases and RAG.
• Knowledge of Java 17 is a strong asset.
• Experience consuming external systems such as web services (REST and SOAP).
• Experience in SQL databases.
• Experience with GitLab and CI/CD processes.
• Experience in Spring Framework.
• Knowledge of Spanish.

• 24 days of annual leave (accrues at 2 days/month). Paid sick leave.
• MacBook Pro + any necessary hardware shipped to the employee’s location.
• Annual 360-degree performance appraisal — drives promotions and raises.
• Onboarding buddy system.
• An extensive course library for learning and certifications.
• Paid Claude Enterprise subscription and access to other cutting edge professional tools.