Staff AI Engineer

TELUS Digital

AI Engineer implementing intelligent and analytical AI solutions for TELUS Digital. Integrating Generative AI and Software Engineering concepts into production-ready applications.

Posted 4/13/2026full-timeRemote • 🇧🇷 BrazilLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDjangoGoogle Cloud PlatformJavaJenkinsPythonSpringTypeScript

About the role

Key responsibilities & impact

Integrate Generative AI models, such as LLMs, with external APIs, tools, and databases using secure and efficient orchestration patterns.
Design, develop, and deploy AI workflows and Agentic AI solutions, enabling the seamless orchestration of intelligent agents to plan and perform tasks while leveraging autonomous and/or human-in-the-loop paradigms.
Implement and optimize multi-agent systems, leveraging standards and protocols such as Model Context Protocol (MCP), and emerging frameworks for agent interoperability and access to external resources.
Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety, ensuring compliance with moderation, security, and ethical standards.
Evaluate, analyse, and gather insights out of structured and non-structure data leveraging Generative AI models and pipelines.
Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices, facilitating reliable deployment pipelines and continuous performance optimization.
Orchestrate AI model selection, tuning, and performance validation to meet specific agent-based application needs.
Communicate complex AI concepts, systems, and decisions effectively to technical and non-technical stakeholders, promoting transparency and trust in AI delivery.
Foster an environment of innovation and collaboration, engaging and encouraging teams to solve complex problems and share ideas that drive innovative approaches.

Requirements

What you’ll need

Proven experience designing and deploying AI architectures, with expertise in Generative AI, NLP, LLM integration, and software engineering.
Strong background in building software platforms (Python/Django, Java/Spring, TypeScript/Express, etc.) capable of API integration and orchestration.
Strong understanding of the trade-offs between various generative AI models and the ability to choose the right model for specific use cases.
Hands-on experience with function-calling and tools integration into LLM models, leveraging frameworks such as Model Context Protocol (MCP).
Experience with Agentic AI orchestration frameworks such as LangGraph, Google ADK, OpenAI Agents SDK, CrewAI, or others.
Expertise in data embeddings, vector databases, and chunking strategies, understanding the trade-off between different options, and leveraging it to optimize data ingestion and application performance.
Experience using CI/CD tools (GitHub Actions, Jenkins, AWS CodeDeploy, Azure Pipelines) to streamline development and deployment workflows.
Hands-on experience deploying software on leading cloud platforms and utilizing AI tools like AWS Bedrock and Azure AI Services.
Experience leveraging evaluation frameworks (e.g., RAGAS, OpenAI Eval) and tools (e.g., Arize, LangSmith, Braintrust) to assess business and performance metrics of AI solutions.
Understanding of performance optimization, including the use of observability platforms, event tracking, and performance validation.
Practical knowledge of deploying AI solutions using cloud platforms like AWS, Azure, or GCP, utilizing services such as AWS Bedrock or Azure AI Services.
Excellent skills in prompt and context engineering, ensuring the usage of the right techniques to meet diverse project requirements.
Ability to communicate complex AI solutions and concepts effectively to technical and non-technical stakeholders.

Benefits

Comp & perks

Health and dental plan
Life insurance
Monthly voucher for meals, culture, education, health and mobility
Child care assistance and more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Generative AINLPLLM integrationPythonDjangoJavaSpringTypeScriptExpressdata embeddings

Soft Skills

communicationcollaborationproblem-solvinginnovationtransparencytrust