AI Developer / Software Engineer

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.

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.