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