Jobs in Canada

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Added 2 months ago
AA
Machine Learning Applied Scientist (Co-op)
Apera AI Inc
Vancouver, BC
- $3,600 to $4,500 CAD / month
Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision - the ability to see and grasp objects with human-like…
Added 2 months ago
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AI Engineer
Cognizant
Toronto, ON
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 2 months ago
ES
Offensive Security Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate…
Added 2 months ago
TC
Senior Automation Developer with Blue Prism
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Automation Developer to design, develop, and optimize automation solutions using Blue Prism, with complementary expertise in Python, SQL, and API…
Added 2 months ago
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SAP AI Orchestration Developer
Talan
Toronto, ON · Montreal, Québec
- $140,000 to $200,000 CAD / year
- Full-time
Development: At least four (4) years with Python, plus Node.js or Java; experience with Joule extensibility and workflow automation.
Added 2 months ago
1P
AI Architect
10 Percent Recruiting Ltd.
AB · Alberta, Canada
- Contract
As the AI Architect, you will be responsible for establishing the AI architecture, technical standards, governance frameworks, and platform strategy that support the organization's AI…
Added 2 months ago
IR
Intermediate Software Developer, DevOps - Remote/Hybrid (Canada)
Info-Tech Research Group
London, ON · Toronto, ON
- Full-time
Working knowledge of Python, APIs, and web services, with an understanding of how they support automation, application integration, and DevOps processes.
Added 2 months ago
TC
Sr Software Quality Engineer (AI Focused)
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Design, develop, and maintain scalable test automation frameworks using Java, Python, or Groovy.
Added 2 months ago
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Senior Software Quality Engineer – AI
PeoplePilot
Toronto, ON
- Full-time
We are seeking a Senior Software Quality Engineer – AI Focused to drive quality, reliability, and automation for AI-enabled software products. The role will collaborate with Development,…
Added 2 months ago
MI
Senior Quality Assurance Specialist
Maarut Inc
Toronto, ON
- Contract
Understanding of scripting languages (e.g., Python, JavaScript, Bash) for automation or test data setup.
Added 2 months ago
A
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
- Full-time
Familiarity with frontend frameworks (React, Vue) or backend technologies (APIs, databases, microservices, or cloud infrastructure)
Added 2 months ago
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Services Professional (Early Career)
Ericsson
Toronto, ON
- Full-time
Familiarity with agent frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or AutoGen (preferred)
Added 2 months ago
D
Cloud, Automation & AI Engineer Consultant
Deloitte
Toronto, ON
- Full-time
…modernize their technology foundations through innovative cloud, automation, data, and AI solutions. We work with public and private sector clients to solve complex business challenges,…
Added 2 months ago
JG
Gen AI Developer
J&M Group
Halifax, NS
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 2 months ago
DC
System Integration Technical Lead
Delta Controls
Surrey, BC
- Full-time
…Delta Electronics) is a leading building controls manufacturer with over 300 partners in more than 80 countries. For over three decades, we have provided innovative building automation…
Added 2 months ago
A
Senior Manager/Manager, Analytics & AI, Finance, Legal, Risk Technology
Aritzia
Vancouver, BC
- Full-time
SQL and either Python or R, with the ability to guide technical design, analytical methods, quality assurance, and code-review standards
Added 2 months ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
Lovelytics is seeking a Lead GenAI Consultant with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part of our…
Added 2 months ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
…platforms, multi-agent orchestration systems, and intelligent automation that will process billions in credit decisions; experiment with frontier models, novel architectures, and…
Added 2 months ago
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Data Scientist
Raise
Calgary, AB
- Full-time
Design, build, test, and optimize scalable data models and ETL/ELT pipelines within Databricks using Python, PySpark, SQL, notebooks, workflows, and orchestration frameworks to support…
Added 2 months ago
KD
Founding Engineering Lead
Karbon Digital
Toronto, ON
- Full-time
Experience with document processing or intelligent automation.
Added 2 months ago
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Staff/ Sr. Staff HW Test Automation Engineer
Lightmatter
Toronto, ON
- Full-time
Deep hands-on experience with ATE test method/test flow development and/or embedded test frameworks for hardware test automation, plus fluency with instrumentation automation (SCPI/VISA or…
Added 2 months ago
L
Staff/ Sr. Staff HW Test Automation Engineer
Lightmatter
Toronto, ON
- Full-time
Deep hands-on experience with ATE test method/test flow development and/or embedded test frameworks for hardware test automation, plus fluency with instrumentation automation (SCPI/VISA or…
Added 2 months ago
FE
Senior RPA Automation Engineer
Future Electronics
Kirkland, QC
- Full-time
You will work across a broad range of automation technologies, combining commercial automation platforms, workflow tools, browser automation frameworks, scripting languages, AI/ML models,…
Added 2 months ago
LD
Systems Engineer
Leonardo DRS
Ottawa, ON · Kanata, ON
- Full-time
Cybersecurity - understanding of cybersecurity standards and frameworks (e.g., NIST, ISO 27001, CIS Controls); familiarity with security technologies (e.g., VPN, SSL/TLS, AES, IDS/IPS);…
Added 2 months ago
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Staff Engineer - Inference /AI
Nutanix
Vancouver, BC
- $171,000 to $257,000 CAD / year
- Full-time
At Nutanix, we're simplifying the future of AI with the Nutanix Cloud Platform for AI, enabling organizations to easily build, fine-tune, and run Generative AI, Large Language Models…

Nutanix

Staff Engineer - Inference /AI

Vancouver, BC, Canada

$171,000 to $257,000 CAD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $171,000 to $257,000 CAD / year
Job type: Full-time
Experience: 8+ years of experience developing maintainable, modular, resilient, fail-safe, and long-lived software products within a product development organization.
Posting language: English
Posted: Sep 14, 2026

Original job description

The Opportunity

At Nutanix, we're simplifying the future of AI with the Nutanix Cloud Platform for AI, enabling organizations to easily build, fine-tune, and run Generative AI, Large Language Models (LLMs), and next-generation Agentic AI applications without the complexity of managing AI infrastructure themselves. Our high-performance, full-stack machine learning cloud platform delivers AI-ready capabilities out of the box ("GPT-in-a-Box") through a software-defined, full-stack infrastructure solution that simplifies AI deployment across on-premises data centers, edge locations, and public clouds.

The Enterprise AI team is at the forefront of this innovation, driving strategic products such as LLM Inference, the AI Gateway, and the Agentic AI Platform, recently showcased at NVIDIA GTC and NEXT 2026. Join the team responsible for the foundational AI technologies powering the next wave of intelligent applications at Nutanix.

About The Team

We are a fast-paced, globally distributed team building the foundational layers of the enterprise AI stack. By joining our team, you'll help shape the next generation of enterprise AI platforms, working at the intersection of large-scale distributed systems and machine learning infrastructure. This is an opportunity to solve complex technical challenges, influence the direction of key AI technologies, and build systems that power AI workloads at enterprise scale.

You will report to a seasoned Technical Lead/Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model, offering a blend of in-office collaboration and remote work flexibility. As a new hire, you will be expected to be in the office for 3 days a week, ensuring that you have the opportunity to engage with your team and foster strong working relationships.

Your Role

Architect, design, and develop horizontally scalable, containerized, fault-tolerant services on Kubernetes for enterprise AI and LLM workloads.
Build and operate high-performance inference and platform services that deliver low-latency, high-throughput experiences for Generative AI and Agentic AI applications.
Design and optimize critical system components across the stack, including distributed systems, storage, networking, and low-level infrastructure layers.
Develop and enhance multi-tenant platform services supporting on-premises, hybrid, and cloud-based AI deployments.
Design and implement scalable observability architectures using technologies such as Prometheus, Grafana, Datadog, OpenTelemetry, and related cloud-native monitoring frameworks.
Debug complex production issues, perform root-cause analysis, and improve reliability, resiliency, and operational efficiency of platform services.
Build and maintain CI/CD pipelines and deployment automation to accelerate delivery of production-grade services.
Design and implement foundational LLM serving capabilities including request routing, rate limiting, token streaming, load balancing, quota management, and usage budgeting.
Collaborate closely with globally distributed product management, AI, and software engineering teams to deliver high-quality products in a fast-paced environment.
Contribute to all stages of the product lifecycle, including architecture, design, development, testing, experimentation, performance analysis, deployment, and operations.
Leverage and contribute to relevant open-source cloud-native and AI ecosystem projects.
Review code and design documents, provide feedback on product requirements, and champion engineering excellence across the team.
Continuously evaluate emerging technologies and help shape the technical direction of Nutanix's Enterprise AI Platform.

Required Qualifications

What You Will Bring

8+ years of experience developing maintainable, modular, resilient, fail-safe, and long-lived software products within a product development organization.
Strong computer science fundamentals including data structures, algorithms, operating systems, networking, and distributed systems.
Hands-on experience with Docker, Kubernetes, and cloud-native architectures.
Production experience developing backend systems using Go, Python, C++, or Rust.
Experience building, owning, and maintaining CI/CD pipelines and release automation end-to-end.
Strong understanding of datacenter architecture including compute, storage, networking, and virtualization.
Experience designing and deploying software across on-premises, cloud, and hybrid environments.
Demonstrated experience designing and tuning high-performance, performance-sensitive system software.
Solid understanding of distributed computing, distributed data stores, and large-scale service architectures.
Experience diagnosing and resolving production performance issues using observability and monitoring platforms such as Prometheus, Grafana, Datadog, Open Telemetry, or similar tools.
Familiarity with LLM serving concepts including rate limiting, token streaming, request scheduling, load balancing, quota management, and usage budgeting.
Familiarity with modern LLM concepts including reasoning workflows, tool calling, prompt templates, and agent.
Experience building multi-tenant services running on virtualized or containerized infrastructure.
Strong communication, collaboration, and problem-solving skills with the ability to work effectively across globally distributed teams.
Master's degree in Computer Science or equivalent practical experience.

Bonus Points If You Have Experience With

Machine learning frameworks such as PyTorch or TensorFlow.
GPU-based systems and acceleration technologies.
Modern model-serving platforms such as vLLM, DeepSpeed, Hugging Face TGI, or Triton.
Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
Open-source contributions or experience working in large distributed codebases.
Production AI platforms, LLM APIs, agentic systems, or inference infrastructure.
Building or scaling production LLM APIs, including streaming via SSE/WebSockets, prompt guardrails, rate limiting, and usage budgeting.

Learn More About the Technology: https://www.nutanixbible.com/ [nutanixbible.com]

#NAI

Highlighted Benefits (Vancouver, Canada)

Retirement: RRSP with dollar-for-dollar matching up to 7% of base salary

Mental Health: Dedicated mental health coverage plus top-tier paramedical benefits

Family: Fully paid maternity and parental leave and generous bereavement leave, including time for the loss of a pet

Equity: RSUs and Employee Stock Purchase Plan at a 15% discount

Work Arrangement Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Vancouver, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

Pay Transparency - Role Location The pay range for this position at commencement of employment is expected to be between CAD $171,000 and CAD $257,000 per annual.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.

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More about this job

Responsibilities

Architect and develop scalable, fault-tolerant containerized services on Kubernetes for enterprise AI and LLM workloads. Build high-performance inference platforms and observability architectures to support Generative and Agentic AI applications.

Requirements

Requires 8+ years of software development experience with strong fundamentals in distributed systems and production experience in Go, Python, C++, or Rust. A Master's degree in Computer Science or equivalent practical experience is required.

Skills

Kubernetes
Docker
Go
Python
C++
Rust
Distributed Systems
LLM Inference
CI/CD
Prometheus
Grafana
Datadog
OpenTelemetry
Cloud-Native Architecture
Multi-tenancy
System Design

Benefits

RRSP Matching
Mental Health Coverage
Paramedical Benefits
Paid Maternity Leave
Paid Parental Leave
Bereavement Leave
RSUs
Employee Stock Purchase Plan

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Agentic AI
Kubernetes
Docker
Go
Python
C++
Rust
Distributed Systems
vLLM
DeepSpeed
Hugging Face TGI
Triton
PyTorch
TensorFlow
RAG
Vector Databases
Prometheus
Grafana
Datadog
OpenTelemetry
CI/CD
Multi-tenancy
Cloud-Native
Inference Infrastructure
Token Streaming
Load Balancing
GPU Acceleration
Software-Defined Infrastructure

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Work requirements

Jobs in Canada