Fullstack Developer

This role is responsible for driving the evolution of Docebo's Learning Management System (LMS) products within tight deadlines, incorporating artificial intelligence (AI)-driven features and adhering to departmental guidelines. The successful candidate will report directly to the relevant Software Development Manager and be part of an Agile, Scrum international team.

• Develop the core Docebo Learning Suite products, integrating AI and machine learning models to enhance user experience.
• Implement AI-driven features using generative AI techniques to create innovative solutions.
• Collaborate with AI specialists to design and develop application-level competency modules using AI services.
• Oversee project development and manage practical activities and tasks related to the project's implementation.
• Contribute to an Agile, Scrum international team with other backend and frontend developers.

• Minimum of 5 years of experience as a software developer.
• Excellent problem-solving and debugging skills.
• Understanding of the software development lifecycle.
• Experience working in an Agile development environment.
• Experience with Test-Driven Development (TDD) / Behavior-Driven Development (BDD), unit testing, and integration testing.
• Experience with AWS or similar cloud service providers.
• Practical knowledge of Node (Typescript + Javascript) and Angular 14+.
• Good knowledge of written and spoken English.

• Bachelor's or Master's degree in Computer Science or a related technical field or equivalent practical experience.
• Good communication and interpersonal skills.
• Team-driven, results-oriented individual with a positive outlook and a clear focus on high-quality deliverables.
• Clear focus on producing secure software.
• Familiarity with generative AI techniques and frameworks, such as Large Language Models (LLMs), LangChain, RAG, Prompt Chaining, etc.
• Experience with Trunk-Based Development / Continuous Integration / Continuous Delivery.
• Experience with serverless and containerized applications.
• Experience with Infrastructure as Code frameworks, particularly AWS CDK.