Full Stack Developer - GenAI

TELUS Digital
Onsite

About The Position

TELUS Digital is an award-winning digital product consultancy and the digital division of TELUS, a major Canadian telecommunications provider. They specialize in designing and delivering transformative customer experiences using cutting-edge technology and agile methodologies. With a global team, they offer expertise in Web, Mobile & Digital Marketing, Enterprise AI, Customer Care AI & Technology, and Enterprise Technology Modernization. TELUS Digital enables seamless, trusted, and digitally powered experiences across various platforms, backed by the secure infrastructure of TELUS. The TELUS Health Data Office is seeking an experienced full stack developer to join their AI Automation team. This role focuses on designing and implementing AI/ML/GenAI solutions, combining technical leadership with hands-on development. The position requires expertise in cloud platforms and artificial intelligence technologies, with a focus on transforming health and wellbeing products and services to create healthier communities.

Requirements

  • 7+ years of experience in software architecture and development
  • Proven experience with GCP and/or Azure cloud platforms
  • Strong background in AI/ML solution development and implementation
  • Strong experience in evaluating and utilizing LLMs and up to date with the latest evolutions in the GenAI space
  • Experience leading technical teams and managing complex projects
  • Expertise in modern software development practices and methodologies
  • Strong problem-solving and analytical skills
  • Excellent communication skills with ability to explain complex technical concepts
  • Cloud Platforms: GCP (BQ, Looker), Azure
  • AI/ML Technologies: Machine Learning frameworks, GenAI platforms
  • Software Architecture: Microservices, API design, distributed systems
  • Development: Hands-on coding experience in relevant programming languages, React, NodeJS
  • Experience using Data store on cloud, Vector db, embeddings
  • DevOps: CI/CD, Infrastructure as Code

Nice To Haves

  • Managerial experience a plus
  • Cloud certifications (GCP Professional or Azure Solutions Architect)
  • Experience with large-scale AI/ML deployments
  • Background in data engineering and analytics
  • Agile methodology experience
  • Open-source contributions

Responsibilities

  • Design and architect end-to-end AI/ML solutions using GCP/Azure cloud platforms
  • Lead technical teams in implementing AI/ GenAI automation solutions
  • Accountable for removing roadblocks to delivery
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Provide technical guidance to refine business requirements by deeply understanding customer needs and proposing impactful solutions.
  • Provide technical guidance and mentorship to development teams
  • Develop proof-of-concepts and prototype solutions
  • Create and maintain technical documentation and solution architectures
  • Evaluate new AI/ML technologies and recommend adoption strategies
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