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.