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Added 4 days ago
FX Analyst (Associate) / Senior Analyst (Senior Associate), Overlay Management
OMERS
Toronto, ON · Head Office Toronto
Full-time
Strong proficiency in Python, SQL, R, MATLAB, or similar tools used in investment research, data analysis, and workflow automation.
Added 4 days ago
Associate Verification Engineer
ecobee
ON · Ontario, Canada
Full-time
Create Python scripts to interface with test equipment via SCPI commands, compile, align, analyze data, and generate plots
Added 4 days ago
Senior Integration Engineer
Infotree Global Solutions
Toronto, ON
Contract
Expert-level Senior Integration Developer with Intelligent Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and…
Added 4 days ago
Senior AI Platform Developer
Petal
Canada
Full-time
…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…
Added 4 days ago
Senior Quality Engineer – Mobile Testing
DynPro Inc.
Toronto, ON
Contract
We are looking for a hands-on Senior Quality Engineer with strong expertise in manual testing of native mobile applications.
Added 4 days ago
Associate Verification Engineer
Generac Power Systems
Toronto, ON · Canada - Toronto
Full-time
Create Python scripts to interface with test equipment via SCPI commands, compile, align, analyze data, and generate plots
Added 11 days ago
ICQA Data Analyst, YEG2
Amazon
AB · Parkland County, Alberta
- Experience in advanced SQL, Python, Tableau
Added 4 days ago
Senior AI Platform Developer
Petal
Remote, Canada
Full-time · Remote
…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…
Added 29 days ago
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
Full-time
This is a high-impact, senior engineering role, where engineers are expected to operate with significant ownership and minimal oversight. The role focuses on building production-ready AI…
Added 4 days ago
Enterprise Architect – AI and Data
BMO
Toronto, ON · FCP
Full-time
Deliver architectural recommendations and presentations to internal stakeholders and senior leadership.
Added 4 days ago
Network Solution Architect
Mariner
NB
…architecture and infrastructure team. This role is ideal for a senior networking professional who combines deep technical expertise with strategic thinking and has a proven track record of…
Added 4 days ago
Network Solution Architect
Mariner
NB · NS
…architecture and infrastructure team. This role is ideal for a senior networking professional who combines deep technical expertise with strategic thinking and has a proven track record of…
Added 4 days ago
Data Analyst / Research Analysis Specialist Senior
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
Full-time
Job Class: Research Analysis Specialist Senior
Added 7 days ago
Senior Lead AI Application Engineer (Global Security)
Royal Bank of Canada
Calgary, AB · Toronto, ON
Full-time
As the Senior Lead AI Application Engineer, you will lead multi-agentic application software engineering and full-stack delivery of secure, cloud native microservices that embed pragmatic…
Added 4 days ago
Intern, Fullstack Developer (Python) - Winter Semester 2027
AlayaCare
Montreal, QC
As an Fullstack Developer Intern (Python, Vue.js & RESTful APIs), you’ll work closely with experienced developers and product team members to contribute to real product features on the…
Added 4 days ago
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce Partner Canada
Toronto, ON
Full-time
Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people…
Added 4 days ago
Data Engineer
DarkVision
North Vancouver, BC
Full-time
Proficiency in Python for data manipulation and analysis.
Added 4 days ago
Technology Solutions Engineer Co-op/Internship (Winter 2027)
BCI
Victoria, BC · CA Victoria
Full-time
Software Engineering: Software design, creating, testing, and debugging code under the guidance of senior team members, building, maintaining, and deploying applications
Added 4 days ago
Strategic Asset Allocation (Global Macro) Co-op/Internship (Winter 2027)
BCI
Victoria, BC · CA Victoria
Full-time
Help translate complex macroeconomic analysis into clear, well-styled outputs for senior investment and executive audiences
Added 4 days ago
Liquidity & Counterparty Risk Management Co-op/Internship (Winter 2027 or Winter & Summer 2027)
BCI
Victoria, BC · CA Victoria
Full-time
The co-op will report to Senior Analyst, Liquidity and Counterparty Risk Management. The Liquidity and Counterparty Risk Management team sits within the Investment Risk branch of Investment…
Added 4 days ago
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
Full-time
…authentication, billing, data model, and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse…
Added 29 days ago
Senior Geotechnical Engineer (Mining)
Stantec
Montreal, QC
Full-time
Additional tools (asset): Experience with FLAC and computational or programming environments such as MATLAB or Python.
Added 4 days ago
Senior Software Engineer
Soma Energy
Remote, Canada
Full-time · Remote
As a Senior Engineer, you'll own major services end to end, from design through reliable operation, and raise the bar for everyone who works alongside you.
Added 4 days ago
Associate Director, Insights & Analytics
Starcom Canada
Toronto, ON
Full-time
Serve as Senior Client Consultant: Lead client conversations on marketing effectiveness, explain model methodology and limitations, present findings with confidence, and build trust with…
Added 4 days ago
Stagiaire LEAP hiver 2027 – Excellence opérationnelle VHCS | Winter 2027 LEAP Intern – VHCS Operational Excellence
Keurig Dr Pepper Canada
Montreal, QC
Full-time
Compétences de base en analyse de données requises; la connaissance de SQL, Python, des systèmes ERP/WMS, de Power BI, Tableau ou Looker est considérée comme un atout.

Petal

Senior AI Platform Developer

Canada

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

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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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