Developer, AI Transformation Team

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop, test, and maintain applications powered by AI and intelligent workflows utilizing Python in a cloud-native setting.

• Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems.

• Construct and enhance data pipelines for both structured and unstructured data used in AI application workflows.

• Assist in the implementation of retrieval-based and prompt-driven AI experiences, such as semantic search and contextual response generation.

• Enhance the performance of application and model integration for scalability, reliability, latency, and maintainability.

• Collaborate with cross-functional teams to define, design, and deliver AI-enabled features and solutions.

• Apply best practices for security, testing, monitoring, and CI/CD automation throughout the AI application development lifecycle.

• Troubleshoot and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability.

• Write clean, structured, and well-documented code that adheres to the team's engineering standards and development best practices.

• Remain informed about emerging AI technologies, Python frameworks, and industry trends related to intelligent application development.

⛳️ Requirements

• 5-8 years of experience in Python development, including a minimum of 2 years in AI/ML development.

• Strong expertise in Python along with familiarity with frameworks such as Django, Flask, or FastAPI.

• Experience in API development, integration, and web services within production environments.

• Practical experience in integrating AI or ML models, LLM APIs, or automation frameworks into applications.

• In-depth knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications.

• Familiarity with cloud platforms such as AWS and Azure, as well as containerization technologies like Docker and Kubernetes.

• Understanding of asynchronous programming, performance optimization, and scalable backend architectures.

• Experience with unit testing, debugging, version control, and software engineering best practices.

• Capability to work efficiently in a collaborative team environment with strong problem-solving and execution skills.

🏝️ Benefits

• Opportunity for professional growth and development in a cutting-edge field.

• Collaborative and inclusive work environment.

• Access to the latest tools and technologies in AI development.

• Competitive salary and comprehensive benefits package.