Conversational AI Application Developer (English and French Speaker)

The Software Engineer (Conversational AI Application Developer), Mid develops, implements, and maintains high-quality conversational AI applications on the Omilia Cloud Platform (OCP). Compared with Junior, Mid carries more ownership of customer requirements gathering, application design, and internal mentoring / task coordination as experience grows — and is expected to gain confidence in Omilia’s stack faster when hired at Mid. The role ensures seamless user experiences and robust technical performance across enterprise client deployments, working within a squad under a Team Lead or Solution Delivery Manager.

Accountabilities

• Feature Ownership: Accountable for the end-to-end development and unit testing of specific conversational features and miniApps.
• Technical Execution: Ownership of the implementation of business logic and conversational flows as defined in Detailed Design Specifications (DDS).
• NLU Management: Accountable for the creation, uploading, and basic tuning of NLU models and resources.
• System Stability: Ownership of troubleshooting and resolving defects identified during QA, UAT, or production hypercare phases.
• Environment Management: Accountable for the successful deployment and promotion of applications across OCP environments (Dev, UAT, Prod).

Key Responsibilities

• Write clean, maintainable code to build conversational dialogs, integrating with backend web services and CCaaS platforms.
• Prepare and upload NLU training data, manage intent selection policies, and ensure high concept identification success rates.
• Perform rigorous unit testing and use tools like ELK/Kibana to analyse logs and resolve runtime errors.
• Maintain technical documentation for implemented features and contribute to master prompt lists and implementation steps.
• Participate in daily stand-ups and sprint planning, providing accurate task estimates and surfacing technical risks early.
• Manage application deployments and promotions across OCP environments, following Omilia's change management protocols.

Requirements

Required:

• Strong hands-on experience with the Omilia Cloud Platform (OCP) and its core components — Dialog Manager, NLU, miniApps, or hands-on experience in production-grade development with other Conversational AI Platforms.
• Solid background in software development, including JavaScript/Node.js and working with RESTful APIs and JSON.
• Working knowledge of NLU concepts: intents, entities, utterances, and conversational design best practices.
• Proficiency in Jira for task tracking and Git for version control.
• Strong analytical and debugging skills — able to diagnose complex technical issues and optimise application performance.
• Ability to work independently on assigned features with minimal supervision.

Nice to have:

• Experience deploying conversational AI for enterprise clients in banking, insurance, or utilities.
• Familiarity with CCaaS platform integrations (e.g., Genesys, Avaya, NICE).
• Exposure to CI/CD pipelines and automated testing frameworks.
• Understanding of voice biometrics and speech recognition systems.

Benefits

• Fixed compensation;
• Long-term employment with the working days vacation;
• Development in professional growth (courses, training, etc);
• Being part of successful cutting-edge technology products that are making a global impact in the service industry;
• Proficient and fun-to-work-with colleagues;
• Apple gear
  
  

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.

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