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.
Requirements
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.
Benefits
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.

Work arrangement
No