AI Engineer

TELUS
Ontario, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Ontario, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Automated Storage and Retrieval Systems
Azure
Cloud Engineering
Computer Programming
Databases
Information Engineering
Python
Machine Learning
Open Source Technology
Search Technologies
SQL Databases
Data Ingestion
Flask
Large Language Models
Deep Learning
Backend
FastAPI
Kubernetes
Information Technology
Machine Learning Operations
Docker

Job description

  • LLM Integration & Orchestration: Design and deliver production applications using model APIs (OpenAI, Anthropic, Gemini) and orchestration frameworks like LangChain, LlamaIndex, or LangGraph.
  • RAG & Retrieval Systems: Build and optimize retrieval systems over proprietary data using vector databases such as Pinecone, Weaviate, or Milvus and hybrid search techniques.
  • Agentic Workflows: Develop autonomous agents and multi-step reasoning workflows that call external tools and maintain state to solve complex automation tasks.
  • Evaluation & Observability: Establish evaluation pipelines (using frameworks like DeepEval) to measure model drift, accuracy, and latency, ensuring safe and ethical AI outputs.
  • MLOps & Deployment: Package AI applications in Docker containers and manage scalable deployments on cloud platforms (AWS, Azure, or GCP) using CI/CD pipelines.
  • Data Engineering: Design pipelines for data ingestion, cleaning, and chunking to support retrieval and model fine-tuning.

Requirements

  • Education: Bachelor's or Master's degree in Computer Science, AI, Mathematics, or a related technical field.
  • Programming: Expert-level proficiency in Python (3.10+) and familiarity with backend frameworks like FastAPI or Flask.
  • AI Foundations: Strong understanding of machine learning, deep learning architectures (Transformers), and NLP fundamentals.
  • Infrastructure: Hands-on experience with Docker, Kubernetes, and cloud-native AI tools (e.g., AWS Bedrock, Azure AI Search).
  • Databases: Proficiency in SQL and experience with Vector Databases for semantic search.
  • Soft Skills: Strong problem-solving acumen and the ability to explain complex AI behavior to non-technical stakeholders.

Bonus Points

  • Experience fine-tuning open-source models (e.g., Llama 3, Mistral) for specific domains.
  • Knowledge of AI ethics, bias mitigation, and responsible AI governance.
  • Relevant certifications (e.g., Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty).

About the company

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.

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