Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across various service offerings: Web, Mobile & Digital Marketing | Enterprise AI | Customer Care AI & Technology | Enterprise Technology Modernization

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Responsibilities

• Develop backend services in Python
• Implement RAG pipelines using ChromaDB and vector databases
• Design data models with Pydantic
• Build and maintain CI/CD and DevOps workflows
• Ensure scalability, reliability, and performance

Qualifications

• 3+ years of Python experience
• Experience with Pydantic and API development
• Hands-on experience with ChromaDB or vector databases
• Solid understanding of RAG architectures
• DevOps experience (Docker, CI/CD, cloud environments)

Bonus Points

• Experience with LLM integrations

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.

For more information on how we use your information, see our Privacy Policy.

Compensation Range: CA$80K - CA$90K