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Added 1 month ago
SS
Vice President, Data, Analytics & AI
Sienna Senior Living
Markham, ON
- Full-time
Partner with business leaders to create AI-enabled workflows and intelligent automation solutions.
Added 1 month ago
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Data Engineer - Capital Markets
Synechron
Mississauga, ON
- $110,000 to $120,000 USD / year
- Full-time
…more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a…
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Strong programming experience with Python, Perl, or a similar scripting language, with the ability to build reusable automation utilities and validation frameworks.
Added 1 month ago
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QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
Experience with other automation tools or frameworks.
Added 1 month ago
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Senior Cloud Operations and CI/CD Specialist
Syntronic
Ottawa, ON
- Full-time
At Syntronic, we don't just follow industry trends - we set them! Join us in partnering with visionary companies and the brightest minds to turn ground-breaking ideas into reality. Imagine…
Added 1 month 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 1 month ago
Content Producer
Haven Interactive Studios - English
Montreal, QC
In May 2021, we embarked on a journey to start Haven Studios with a small team and big ambitions. Our goal was to build a studio where we could make the kind of games we’ve always wanted to…
Added 1 month ago
Content Producer
PlayStation Global
Montreal, QC
…experiences under the PlayStation brand, a name synonymous with entertainment excellence and…
Added 1 month ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
…a Copilot or agentic AI engagement, and comfortable enough with Microsoft Fabric to qualify a data modernization opportunity and recognize when to pull in a specialist. Consultative…
Added 1 month ago
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Senior AI Platform Developer
Petal
Canada
- Full-time
Languages and frameworks: Python, Node.js, TypeScript, Angular
Added 1 month ago
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AI Platform Developer
Petal
Canada
- Full-time
Languages and frameworks: Python, Node.js, TypeScript, Angular
Added 1 month ago
ICQA Data Analyst, YEG2
Amazon
AB · Parkland County, Alberta
- Experience with modern software development, web development frameworks, APIs
Added 1 month ago
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AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
Languages and frameworks: Python, Node.js, TypeScript, Angular
Added 1 month ago
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Senior AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
Languages and frameworks: Python, Node.js, TypeScript, Angular
Added 2 months ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
- Full-time
…solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain…
Added 1 month ago
CO
DevOps Engineer
Caspian One
Toronto, ON
- $80 to $110 CAD / hour
- Contract
(The team are working exclusively with Caspian One to build out this team)
Added 1 month ago
C
Senior Fullstack Engineer, Agentic Experience
CreatorIQ
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
Backend & API Expertise: You are proficient in Node.js and Python, with a strong background in building reliable APIs and integrating data connectors.
Added 1 month ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 1 month ago
C
Pluggable Optical Modems Test Engineer
Ciena
Ottawa, ON
- Full-time
…high-performance optical communications. The position works closely with engineering teams to execute testing, investigate issues, and improve automation capabilities. Success in this role…
Added 1 month ago
C
Senior Penetration Tester & Red Team Engineer
Cognizant
Toronto, ON
- Full-time
…development. This role combines hands-on security engineering with offensive security expertise to identify vulnerabilities, simulate real-world attack scenarios, and develop automation…
Added 1 month ago
MI
Sr. Engineer - AI Solutions
Magna International
Aurora, ON · Toronto, ON
- $102,500 to $124,700 CAD / year
- Full-time
This position will be responsible for developing next-generation AI solutions with Machine Learning, GenAI and Agentic AI to improve our engineering processes. These solutions will address…
Added 1 month ago
Specialist, Quantitative Analysis
CMHC - SCHL
Calgary, AB · Vancouver, BC · Halifax, NS · Ottawa, ON · Toronto, ON · Montreal, QC
Familiarity with data governance frameworks and enterprise reporting environments.
Added 1 month ago
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Intermediate Full Stack Developer
Syntronic
Ottawa, ON
- Full-time
Hands-on experience with one or more modern backend languages, frameworks, or runtimes, such as Node.js/TypeScript, Python, .NET/C#, Java/Kotlin, Go, or equivalent technologies. Experience…
Added 1 month ago
TC
Payload System Verification and Validation Engineer
TMC Canada
Montreal, QC
- Full-time
…verification of next-generation digital communications payloads, with emphasis on requirements verification through test, end-to-end telecom performance validation, and traceable closure of…

Petal

Senior AI Platform Developer

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: As a Senior Software Developer, AI Platform, you will bring 10+ years of hands-on experience building and operating SaaS products.
Posting language: English
Posted: Sep 17, 2026

Original job description

Petal is a leading Canadian healthcare orchestration and billing company that revolutionizes healthcare systems to make them agile, efficient, and resilient by enabling the forecasting and shaping of world-class healthcare through Healthcare BI, advanced analytics, and informed insights.

Our commitment to fostering an exceptional workplace culture has earned us notable recognitions, including being listed as a Great Place to Work in both the technology and healthcare sectors. Join us in our mission to empower healthcare innovators and improve healthcare differently.

Let’s talk tech

Join a high-performing engineering team undergoing an AI-driven transformation of the Software Development Life Cycle into an Agentic Development Life Cycle (ADLC). We are looking for senior developer who embrace AI-assisted engineering practices and can lead by example in modern software delivery.

You will help drive engineering excellence by leveraging AI tools to improve development velocity, code quality, automation, and operational efficiency across the SDLC.

The role

The AI Platform team builds the dedicated AI capabilities that enable Petal product teams to create, deploy, evaluate, govern, and operate AI agents safely and consistently.

As a Senior Software Developer, AI Platform, you will bring 10+ years of hands-on experience building and operating SaaS products. In this role, you will design, build, and operate production-grade AI Platform capabilities that are reused across product teams. You will help define the technical foundation for Petal’s AI agent ecosystem while ensuring the platform capabilities are secure, observable, evaluable, governed, and ready for production use.

What You’ll Do

Design, build, and operate AI-specific platform capabilities used by product teams to build and run AI agents.
Build services for agent orchestration, runtime execution, tool integration, agent lifecycle management, evaluation, observability, and governance.
Create AI Platform components such as agent catalogs, workflow builders, Agent IAM, agent operational stores, evaluation frameworks, prompt/configuration management, guardrails, retrieval services, and Agent Observability.
Build reusable APIs, SDKs, templates, reference implementations, and documentation for AI agent development and operation.
Partner with application teams to understand their AI Platform needs while keeping ownership of product-specific AI features with those teams.
Support secure and governed integration between agents, internal APIs, data sources, knowledge systems, and Azure AI services.
Define standards for agent deployment, monitoring, evaluation, access control, cost management, and responsible AI practices.
Reduce duplicated AI-agent infrastructure across teams by creating reusable AI-specific building blocks.
Mentor developers and help shape technical direction across Petal’s AI Platform capabilities.

Technology stack

You Will Work With AI Platform Technologies Such As

Azure AI and cloud: Azure Native Services, Azure AI Foundry, Azure AI Search, Azure Cognitive Services
Agent orchestration: LangGraph, agent runtimes, tool calling, workflow orchestration
Languages and frameworks: Python, Node.js, TypeScript, Angular
Evaluation: AI evaluation frameworks, automated agent testing, benchmark suites, quality scoring
Agent security: Agent IAM, role-based access control, secrets management, audit trails
Agent observability: Agent traces, tool-call logs, prompt/response monitoring, metrics, dashboards, alerting
Knowledge and retrieval: Semantic search, vector search, retrieval pipelines, enterprise knowledge connectors
Governance: Responsible AI guardrails, policy enforcement, compliance controls, cost monitoring

What You Bring

Strong experience building production-grade backend, platform, AI infrastructure, or agent infrastructure services.
Experience designing distributed systems, APIs, cloud-native services, and developer-facing capabilities for internal engineering teams.
Hands-on experience with modern AI/LLM infrastructure, such as agent orchestration, retrieval, tool calling, evaluation pipelines, Agent IAM, Agent Observability, model gateways, or responsible AI guardrails.
Strong understanding of how to build AI systems that are secure, observable, testable, governed, reliable, and cost-aware in production.
Ability to work through ambiguity, define technical direction, and turn AI Platform concepts into usable services for product engineering teams.
Strong collaboration skills across product, engineering, security, data, and application teams.
Ability to mentor other developers and raise the technical bar for AI platform engineering.

Senior-level expectations

As a senior member of the AI Platform team, you will help shape Petal’s AI-specific platform capabilities.

You Are Expected To

Own complex AI Platform initiatives from design through production.
Make pragmatic architecture decisions that balance speed, safety, scalability, maintainability, governance, and cost.
Anticipate operational, security, and quality risks specific to AI agents.
Create reusable AI Platform patterns rather than one-off product features or generic platform services.
Help application teams succeed through AI-specific enablement, documentation, APIs, and reusable services.
Mentor developers and influence engineering practices for AI agent development and operation.
Represent the AI Platform team in cross-functional technical discussions about AI architecture, AI safety, AI evaluation, and agent operations.

Success in the first 6–12 months

Success In This Role Looks Like

Application teams can build AI agents faster using dedicated AI Platform capabilities.
Core AI Platform components are production-ready, observable, secure, governed, and documented.
There is less duplicated AI-agent infrastructure across teams.
The platform provides clear AI-specific patterns for orchestration, retrieval, evaluation, governance, Agent IAM, Agent Observability, and deployment.
AI agents can be evaluated, monitored, governed, and operated with confidence in production.
The AI Platform team is recognized as the owner of reusable AI Platform capabilities, not as a generic platform team or a product AI feature team.

Petal’s position on remote working

In our opinion, a company cannot claim to be modern, innovative and have the well-being of their team at heart, without attempting to integrate remote working to the level that their business model allows them to. Petal employees continue to benefit from the option of teleworking up to the maximum flexibility permitted by the nature of the position and the smooth running of operations.

Our Benefits

Recurring hybrid work allowance;
Compensation that recognizes your contribution;
4 to 6 weeks of paid vacation per year;
5 paid personal days per year ;
A group RRSP / DPSP plan with employer contribution;
A complete group insurance plan, from day 1;
An annual wellness allowance;
Access to the Lumino Health™ telehealth application;
Flexible work hours and more.

Petal is an active participant in the equal opportunity employment program, and members of the following target groups are encouraged to apply: women, people with disabilities, aboriginal peoples and visible minorities. If you are a person with a disability, assistance with the screening and selection process is available on request.

A quick important note: We’ve noticed that some external websites are posting our job openings under incorrect job titles. To find our real opportunities and join our team, please make sure to apply through our official careers page or our trusted partners. We can’t wait to hear from you!

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More about this job

Responsibilities

You will design, build, and operate production-grade AI platform capabilities to enable product teams to create and manage AI agents. This includes developing services for orchestration, evaluation, governance, and observability while mentoring developers to drive engineering excellence.

Requirements

The role requires 10+ years of hands-on experience building and operating SaaS products and distributed systems. Candidates must have strong expertise in modern AI/LLM infrastructure, cloud-native services, and the ability to define technical direction for AI platform engineering.

Skills

Azure AI
Python
Node.js
TypeScript
Angular
LangGraph
Distributed systems
Cloud-native services
Agent orchestration
Retrieval pipelines
Semantic search
Vector search
API development
Governance
Observability

Benefits

Recurring hybrid work allowance
Paid vacation
Paid personal days
Group RRSP/DPSP plan
Group insurance plan
Annual wellness allowance
Lumino Health telehealth application
Flexible work hours

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
Azure AI Foundry
Azure AI Search
LangGraph
SaaS
Python
TypeScript
Node.js
Angular
Distributed Systems
Cloud-native
Agent Orchestration
Semantic Search
Vector Search
IAM
Observability
Governance
Responsible AI
Healthcare BI
Analytics
Automation
API
SDK
Azure Cognitive Services
Prompt Engineering
Evaluation Frameworks
Compliance
Cost Management

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