AI Engineer

• Develop, implement, and maintain high-quality conversational AI applications on the Omilia Cloud Platform
• Own end-to-end development and unit testing of conversational features and miniApps
• Implement business logic and conversational flows defined in Detailed Design Specifications
• Create, upload, and basic-tune NLU models and resources
• Troubleshoot and resolve defects identified during QA, UAT, or production hypercare
• Deploy and promote applications across OCP Dev, UAT, and Prod environments
• Write maintainable code for conversational dialogs integrating backend web services and CCaaS platforms
• Prepare and upload NLU training data and manage intent selection policies
• Analyse ELK/Kibana logs and resolve runtime errors
• Maintain technical documentation and contribute to master prompt lists and implementation steps
• Participate in daily stand-ups and sprint planning, estimate tasks, and surface technical risks
• Work within a squad under a Team Lead or Solution Delivery Manager

Conversational AI Application Developer, English and French Speaker

• Design and implement AI models that improve customer experience and replace high OpEx workflows.
• Collaborate with cross-functional teams to integrate AI solutions into existing platforms and services.
• Conduct experiments to validate model performance and iterate on designs based on testing results.
• Stay current with advancements in AI and machine learning technologies, continuously improving AI systems.
• Document methodologies, experiments, and outcomes for knowledge sharing and transparency within the team.

• Design and develop AI workflows and/or models in Python, focusing on LLMs.
• Build scalable solutions bridging AI/ML and software engineering.
• Collaborate with data scientists, developers, and domain experts.
• Research new trends and integrate cutting-edge techniques.
• Translate business needs into practical ML/AI solutions.
• Communicate results clearly.
• Document work to ensure reproducibility and team understanding.