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.
About the Role
Job Summary
We are seeking an experienced AI Developer to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate will have strong experience building Generative AI and LLM-based applications, integrating AI services into enterprise platforms, and developing scalable cloud-native applications. This role requires close collaboration with business stakeholders, architects, and engineering teams to deliver secure, production-ready AI solutions.
Required Skills
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7+ years of software development experience.
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2+ years of hands-on experience with Generative AI/LLM application development.
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Strong programming skills in Python (preferred) and/or Java.
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Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or similar LLM platforms.
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Experience building AI applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or LlamaIndex.
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Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and AI agents.
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Experience developing REST APIs using FastAPI, Flask, Spring Boot, or similar frameworks.
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Experience with cloud platforms such as Azure, AWS, or Google Cloud.
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Knowledge of Docker, Kubernetes, CI/CD pipelines, and Git.
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Familiarity with SQL/NoSQL databases and vector databases (Pinecone, FAISS, ChromaDB, Weaviate, etc.).
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Strong debugging, analytical, and communication skills.
Responsibilities
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Design and develop AI-powered applications using Large Language Models (LLMs).
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Build and optimize RAG pipelines and AI agent workflows.
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Integrate AI services into enterprise applications and APIs.
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Develop scalable backend services for AI solutions.
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Collaborate with architects, product owners, and business stakeholders to define AI use cases.
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Optimize AI model performance, cost, and response quality.
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Ensure security, governance, and compliance for AI implementations.
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Participate in code reviews, testing, and production deployments.
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Document AI solutions and mentor junior developers when needed.
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