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Added 2 months ago
TR
Staff Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
…working knowledge of Node.js, and working familiarity with GenAI concepts including prompt engineering, agentic system design, LLM orchestration frameworks, and Model Context Protocol…
Added 2 months ago
PC
Financial Services Corporate Tax Manager
PwC Canada
Toronto, ON
- Full-time
Proficiency in using current technologies and curiosity around GenAI is required
Added 2 months ago
Manager, AI & Data Consulting
Artefact North America
Montreal, QC
Working knowledge of at least one AI platform ecosystem - Google (Gemini), Anthropic (Claude), or OpenAI - and of core GenAI concepts (RAG, agents, context engineering).
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Artefact North America
Montreal, QC
Build and deploy GenAI and agentic applications into production that change how measurement gets done and consumed: automated model diagnostics, insight generation, analyst copilots,…
Added 2 months ago
Director, AI & Data Science
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 2 months ago
Director, AI & Agentic Engineering
Artefact North America
Montreal, QC
Contributing to AI Strategy: Partnering with senior leadership to shape GenAI architecture direction, tooling decisions, and platform roadmap within your area.
Added 2 months ago
JG
Senior AI Engineer Java
J&M Group
Toronto, ON
- Full-time
Hands-on Experience With Modern GenAI Patterns
Added 2 months ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
Define and maintain architectural standards, design patterns, and best practices for GenAI infrastructure including model serving, prompt management, vector storage, evaluation frameworks,…
Added 2 months ago
IF
AI Developer Senior
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior AI Developer to join our growing team!
Added 2 months ago
R
Account Executive
RevStar
Remote, Canada
- Full-time
- Remote
Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
Added 2 months ago
W
Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable,…
Added 2 months ago
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Développeur(euse) web front-end senior / Senior Front-End Web Developer
Genetec
Brossard, QC
- Full-time
Added 2 months ago
M(
Applied AI Engineer
MaintainX (An Autodesk Company)
Remote, Canada
- $153,000 to $224,000 CAD / year
- Full-time
- Remote
Strong applied GenAI craft - prompt engineering, structured output / tool-use, RAG and retrieval-context patterns
Added 2 months ago
G
Développeur(euse) web front-end senior / Senior Front-End Web Developer
Genetec
Montreal, QC
- Full-time
Added 2 months ago
WT
Senior Software Developer, LLM Infrastructure
Wealthsimple Technologies
Remote, Canada
- $152,900 to $189,000 CAD / year
- Full-time
- Remote
The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable,…
Added 2 months ago
Manager, AI & Data Consulting
Welcome to the Jungle
Montreal, QC
Working knowledge of at least one AI platform ecosystem - Google (Gemini), Anthropic (Claude), or OpenAI - and of core GenAI concepts (RAG, agents, context engineering).
Added 2 months ago
JG
Senior Appian Developer with AI
J&M Group
Toronto, ON
- Full-time
Designs and integrates AI/GenAI solutions (IDP, NLP, chatbots, decisioning) to enable intelligent automation.
Added 2 months ago
HT
Lead AI Test Automation Architect
High Tech Genesis
Canada
- Contract
Strong experience with LLMs, GenAI, Prompt Engineering, RAG, and Vector Databases
Added 2 months ago
EB
Staff Engineer (AI & Engineering)
EQ Bank
Toronto, ON
- Full-time
Added 2 months ago
N
Manager, Technology Systems and Operations (Creative)
Netflix
Vancouver, BC
- Full-time
Ensure seamless integration of Netflix-owned and third-party Games and VFX tools, including emerging GenAI/GenMedia solutions, supporting efficiency, innovation, and secure, scalable…
Added 2 months ago
CI
Director, Data Engineering
Colliers International
Toronto, ON
- Full-time
…and data fabric capabilities, AI/ML pipelines, Agentic AI and GenAI workflows, document extraction services, and business intelligence…
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent…
Added 2 months ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Data Science ML/GenAI Engineer (Intermédiaire)À propos d’Irth Solutions
Added 2 months ago
Director of Engineering, Operations Planning
HelloFresh
Toronto, ON
Own the GenAI transformation - define and drive a concrete roadmap for becoming a genuinely AI-native engineering organisation: from AI-assisted development and automated incident response,…
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Welcome to the Jungle
Montreal, QC
Build and deploy GenAI and agentic applications into production that change how measurement gets done and consumed: automated model diagnostics, insight generation, analyst copilots,…

Okta

Staff Machine Learning Engineer, Generative AI (Auth0)

Toronto, ON, Canada

$168,000 - $231,000 CAD

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Job details

Pay: $168,000 - $231,000 CAD
Experience: 7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Posting language: English
Posted: Sep 8, 2026

Original job description

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Team:

Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users.

The Opportunity:

As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across Okta can build on.

You will have the opportunity to:

Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production.
Drive technical decision making while striving to hit the right balance between factors such as simplicity, flexibility, reliability, and performance.
Lead initiatives to tune, optimize, and deploy agentic applications in production with a focus on performance, reliability, and security.
Partner with Product, Security, and Platform Engineering teams to design AI-powered experiences that are both innovative and trustworthy.
Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases.
Collaborate cross-functionally with product managers, researchers, and engineers to deliver secure, high-quality, and scalable AI/ML systems.

What you will do:

Spearhead the design of scalable, observable ML and Generative AI systems that integrate retrieval, inference, and evaluation pipelines.
Develop and iterate on structured prompting, context retrieval, and RAG workflows that improve accuracy, safety, and cost efficiency in Claude-based systems.
Build and refine automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
Implement schema validation, structured output enforcement, and other guardrails that keep AI outputs reliable, auditable, and compliant with enterprise standards.
Mentor and coach engineers, contributing to the growth of the team and the larger engineering community.

What you bring:

7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Hands-on experience with applied machine learning, from feature engineering to training and fine-tuning models.
Hands-on experience with modern Generative AI platforms (AWS Bedrock, OpenAI, Anthropic, etc.).
Deep understanding of retrieval-augmented generation (RAG), embeddings, and knowledge-base workflows.
Hands-on experience with LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or other related AI agent frameworks.
Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.).
Experience defining evaluation metrics, pipelines, and feedback loops for ML/GenAI systems.
Proven ability to collaborate with product and engineering teams to drive greenfield initiatives forward, navigate unknowns, and iterate quickly and frequently.
Experience building tools or infrastructure for AI/ML applications, with a deep understanding of the developer lifecycle in an AI-native world.

Nice to haves:

Experience integrating AI-driven systems with identity, authentication, or security products.
Exposure to ethical AI, model risk, or compliance frameworks.
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.

Please note that we encourage candidates to apply even if you do not have experience with all of the criteria or technologies listed above; these are provided to give insight into the tech stack and general responsibilities for the role.

P-2652_3522731

Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.

The annual base salary range for this position for candidates located in Canada is between:

$168,000 - $231,000 CAD

The Okta Experience

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

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More about this job

Responsibilities

You will architect, design, and deploy scalable Generative AI and machine learning systems while driving technical decision-making across the stack. You will also collaborate with cross-functional teams to build production-ready AI features, evaluation pipelines, and agentic applications.

Requirements

Candidates must have 7+ years of software development experience with strong expertise in Python and applied machine learning. Proficiency in modern GenAI platforms, RAG workflows, and AI agent frameworks is essential for this role.

Skills

Python
Machine learning
Generative AI
LLMOps
RAG
AWS Bedrock
OpenAI
Anthropic
LangChain
LlamaIndex
FastAPI
PyTorch
TensorFlow
Spark ML
Airflow
System architecture

Benefits

Health insurance
Dental insurance
Vision insurance
RRSP with match
Healthcare spending account
Telemedicine
Paid leave
PTO
Parental leave
Equity
Bonus

Visa sponsorship

Not detected in the job text

Keywords

Staff Machine Learning Engineer
Generative AI
LLM
Python
Go
Typescript
AWS Bedrock
OpenAI
Anthropic
RAG
Embeddings
LiteLLM
LangGraph
LangChain
LlamaIndex
MCP
FastAPI
PyTorch
TensorFlow
Spark ML
Airflow
LLMOps
Identity Security
Authentication
Agentic Applications
Model Fine-tuning
Feature Engineering
Evaluation Pipelines
Infrastructure
Platform Engineering

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