AI Developer / Software Engineer

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.