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Added 2 hours ago
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Senior Project Manager
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled Data Engineer with extensive experience in agentic frameworks and generative AI. The ideal candidate will be responsible for designing and…
Added 2 hours ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
Bring informed perspectives on Generative AI, Agentic AI, AI-enabled business processes, intelligent applications, and enterprise AI platforms.
Added 2 hours ago
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Field Service Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
The Field Service Engineer supports customers globally and reports to the Manager, Field Service Operations. The Field Service Engineer is responsible for aspects of deployments,…
Added 5 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 5 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 5 hours ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 5 hours ago
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Python Gen AI developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 5 hours ago
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Python Gen AI
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 6 hours ago
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Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 8 hours ago
SI
Senior Software Engineer (Frontend), Search
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
…experiences that power our cutting-edge search, recommendations, and generative AI features. This full stack team builds and owns the end-to-end discovery experience across Scribd and…
Added 9 hours ago
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Technical Sales Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
As demand for generative AI, high-performance computing and cloud solutions rapidly expands, there has never been a more exciting time to join our team.
Added 10 hours ago
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GenAI Prompt Engineer
Yochana
Toronto, ON
- Contract
Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.
Added 11 hours ago
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Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We help train advanced generative systems by providing human feedback on AI agents.
Added 11 hours ago
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GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
-Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.
Added 12 hours ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Added 12 hours ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
…and unstructured data used across AI, machine learning, and Generative AI…
Added 13 hours ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 13 hours ago
Logistics Engineering Specialist
Siemens
Concord, ON
The Logistics Engineer is responsible for analyzing, designing, implementing, and continuously improving material-flow and logistics processes across warehouse, receiving, production,…
Added 13 hours ago
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AI Quality Engineer
EPITEC
Toronto, ON
- Contract
Hands-on experience with Generative AI / LLMs and applying AI to enterprise automation or testing use cases.
Added 14 hours ago
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Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
MLOps Developer / DevOps Infrastructure Engineer
Added 14 hours ago
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AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
AI Developer (Generative AI / Machine Learning)
Added 14 hours ago
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Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Understanding and practical application of Generative AI concepts in software development.
Added 14 hours ago
A
Java/AI Software Engineer
Aptonet
Vancouver, BC
- Full-time
We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will…
Added 15 hours ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 15 hours ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
We are looking for a hands-on engineer who can build and deploy production-grade Agentic AI and multi-agent systems using Google ADK and MCP, while developing scalable AI platform…

TELUS Digital

Robotics QA Automation Engineer

Canada

Full-time

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Job details

Job type: Full-time
Experience: Experience: 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration.
Posting language: English
Posted: Oct 9, 2026

Original job description

Robotics QA Automation Engineer

Role Description

We are looking for an innovative and detail-oriented Robotics Automation Specialist to join our team. In this role, you will work closely with Quality Specialists that have established rubrics and industry leading best practices for robotics data collection and annotation. You will be responsible for translating them into designing, integrating, and managing workflows that connect multiple AI models, tools, and services with human-in-the-loop to deliver scalable, efficient, and business-aligned solutions. The ideal candidate has strong technical expertise in AI/ML, experience with orchestration frameworks, and the ability to translate business needs into automated, AI-driven processes. This position requires a blend of engineering, problem-solving, and strategic thinking to ensure that Robotics initiatives are effectively deployed, optimized, and continuously improved.

Key Responsibilities:

Previous experience with high quality egocentric data collection and annotation pipelines from Automation and HITL perspectives
Design and implement orchestration pipelines that connect multiple GenAI models, APIs, and tools into end-to-end workflows.
Collaborate with data scientists, engineers, and business stakeholders to define use cases and translate them into orchestrated AI solutions.
Ensure system scalability, performance, and reliability through effective orchestration strategies.
Monitor and optimize AI pipelines, addressing bottlenecks, errors, and inefficiencies.
Integrate orchestration platforms with cloud environments and enterprise systems.
Establish best practices for AI orchestration, versioning, monitoring, and lifecycle management.
Document processes, technical architectures, and orchestration standards for knowledge sharing.
Stay updated on advancements in AI orchestration, LLMs, and automation tools to continuously enhance solutions.

Requirements:

Education: Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field (or equivalent experience).
Experience: 3+ years of experience in AI/ML engineering, data engineering, or workflow orchestration. Experience in GenAI/LLM orchestration is a strong plus.

Skills:

Proficiency with orchestration tools/frameworks (e.g., Airflow, Prefect, LangChain, Dagster, Kubeflow, or similar).
Strong programming skills (Python preferred) for building and integrating orchestration pipelines.
Familiarity with Generative AI models (e.g., LLMs, diffusion models) and their deployment.
Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Strong problem-solving and analytical skills to optimize workflows.
Excellent communication and collaboration skills to work across technical and non-technical teams.
Ability to balance innovation with reliability and compliance considerations.

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More about this job

Responsibilities

Design, integrate, and manage scalable orchestration workflows connecting AI models, APIs, tools, cloud environments, and human-in-the-loop processes for robotics data collection and annotation. Monitor and optimize pipeline performance and reliability, establish orchestration and lifecycle-management practices, and document technical standards while collaborating with technical and business stakeholders.

Requirements

A bachelor’s or master’s degree in computer science, data engineering, artificial intelligence, or a related field is required, or equivalent experience, along with at least three years of experience in AI/ML engineering, data engineering, or workflow orchestration. Candidates should have strong Python and orchestration-framework skills, familiarity with generative AI and cloud platforms, and knowledge of Docker or Kubernetes, plus strong analytical, communication, and collaboration abilities.

Skills

AI/ML Engineering
Workflow Orchestration
Python
Generative AI
LLM Orchestration
Airflow
Prefect
LangChain
Dagster
Kubeflow
Cloud Platforms
Docker
Kubernetes
Robotics Data Collection
Data Annotation
Pipeline Monitoring

Visa sponsorship

Not detected in the job text

Keywords

Robotics
Quality Assurance
Automation
Human-in-the-Loop
Egocentric Data Collection
Data Annotation
AI/ML Engineering
Workflow Orchestration
Generative AI
Large Language Models
Diffusion Models
Python
Airflow
Prefect
LangChain
Dagster
Kubeflow
APIs
Cloud Platforms
AWS
GCP
Azure
Docker
Kubernetes
Pipeline Monitoring
Versioning
Lifecycle Management
Scalability
Reliability
Data Engineering

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