AI Developer / Software Engineer

Omilia; Chile; On-site; CLP 20,000,000 - 35,000,000; Full time

Benefits offered by this job

Annual 24 days leave

MacBook Pro + hardware

360-degree performance appraisal

Onboarding buddy

Learning and certifications

Claude Enterprise access

Job summary

Omilia is seeking an AI Developer/Software Engineer to advance the Drive-Thru Voice AI for Quick Serve Restaurants. You will work across engineering, AI/LLM development, conversation analysis, and customer implementation on a live system used in thousands of restaurants.

You will build features, prototype AI capabilities, fine-tune LLMs for voice ordering, review real dialogs for performance improvements, and gather client requirements to shape the application's logic.

Qualifications

• Bachelor's degree in CS or NLP is required.
• At least 1 year as a Software Developer or AI Engineer.
• Excellent command of spoken and written English.
• Excellent communication skills; customer-facing.
• Analytical and creative thinking with great attention to detail.
• Able to meet demanding deadlines.

Responsibilities

• Build features and fix bugs for the Drive-Thru Voice AI solution.
• Integrate with client systems as required.
• Prototype AI features and fine-tune LLMs for voice ordering.
• Review dialog performance and identify improvement opportunities
• Gather business requirements and implement application logic
• Shift effort across engineering, AI/LLM, analysis, and customer work as needed
• Communicate in English with technical and customer-facing contexts and meet deadlines

Skills

English fluency

Communication

Analytical thinking

Attention to detail

Deadline driven

Customer-facing

Education

Bachelor's degree in CS/NLP

Tools

Java 17

REST

SOAP

SQL databases

GitLab & CI/CD

Spring Framework

Vector databases

Job description

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