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Added 1 month ago
SS
Vice President, Data, Analytics & AI
Sienna Senior Living
Markham, ON
- Full-time
Employee Share Purchase Plan with Company Match
Added 1 month ago
B
Manager - Commercial Operations & Analytics
Beghou
ON · Durham, ON
- Full-time
Coding skills (SAS, Python, SQL, etc.) and experience working with data visualization software such as Tableau or Power BI.
Added 1 month ago
BC
Senior Cloud Engineer - Google Firebase
BDO Canada
Toronto, ON
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
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
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / 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
Développeur(euse) en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
Connaissances requises : Python, Linux, Jenkins, Groovy, Git/GitLab, scripts Shell, outils d’IA appliqués au développement logiciel.
Added 1 month ago
S
Senior Cloud Operations and CI/CD Specialist
Syntronic
Ottawa, ON
- Full-time
Proficiency in developing backend services using Python, Node.js, TypeScript, and Spring, integrating Kafka, RabbitMQ, PostgreSQL, Oracle, and NoSQL databases while implementing monitoring…
Added 1 month ago
T
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
A
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by…
Added 1 month ago
K
AI Platform Engineer, Enablement and Governance Operations
Kraken
Canada
- Full-time
…offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional…
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
P
Senior AI Platform Developer
Petal
Canada
- Full-time
…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 1 month ago
P
AI Platform Developer
Petal
Canada
- Full-time
…Development Life Cycle (ADLC). We are looking for Intermediate developer who embrace AI-assisted engineering practices and can lead by example in modern software…
Added 1 month ago
P
AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
…Development Life Cycle (ADLC). We are looking for Intermediate developer who embrace AI-assisted engineering practices and can lead by example in modern software…
Added 1 month ago
P
Senior AI Platform Developer
Petal
Remote, Canada
- Full-time
- Remote
…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 2 months ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
- Full-time
Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate…
Added 1 month ago
B
Enterprise Architect – AI and Data
BMO
Toronto, ON · FCP
- Full-time
Creates a visionary AI and Data architecture and contribute to organizational strategy to align business needs with technologies. Leads the creation of the strategic enterprise AI and Data…
Added 1 month ago
S
GIS Specialist
SYSTRA
Toronto, ON
- Full-time
Develop automated and repeatable workflows using Python, ArcPy, Arcade, FME, and FME Flow.
Added 1 month ago
S
GIS Technician
SYSTRA
Toronto, ON
- Full-time
Assist with configuration and maintenance of ArcGIS Dashboards, Experience Builder applications, web maps, and field applications.
Added 1 month ago
S
GIS Manager
SYSTRA
Toronto, ON
- Full-time
Provide strategic leadership for the GIS function, aligning GIS capabilities with Metrolinx business, operational, infrastructure, and asset-management objectives.
Added 1 month ago
IF
Data Analyst
iA Financial Group (Industrial Alliance)
Quebec, QC
- Full-time
…our business intelligence capabilities. You will collaborate with data analysts, managers, pricing and claims specialists, and other business partners to transform data into performance…
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
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
Is customer-focused, with an eye for building delightful product experiences and developer experiences.
Added 1 month ago
Machine Learning Engineer
ALS
Montreal, QC · CAN - QC - Montreal (Rue Saint-Nicolas)
Excellente maîtrise de Python pour le traitement des données (pandas, NumPy), l’analyse statistique, la visualisation (matplotlib, seaborn) et l’apprentissage automatique (p. ex., PyTorch).
Added 1 month ago
SE
Senior Software Engineer
Soma Energy
Remote, Canada
- Full-time
- Remote
You're a strong backend engineer with 7+ years of software experience, and you're extremely proficient in one or more languages such as Python, Go, Rust, or C++.

Petal

AI Platform Developer

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Experience: As an Intermediate Software Developer, AI Platform, you will bring 5+ 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 Intermediate 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 an Intermediate Software Developer, AI Platform, you will bring 5+ 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 building 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.

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!

Apply About employer

More about this job

Responsibilities

You will design, build, and operate production-grade AI platform capabilities, including agent orchestration, observability, and governance frameworks. You will also partner with product teams to provide reusable services and tools that streamline the development and deployment of AI agents.

Requirements

The role requires 5+ years of hands-on experience in building and operating SaaS products, distributed systems, and cloud-native services. Candidates must have strong expertise in AI/LLM infrastructure, agent orchestration, and modern backend development practices.

Skills

AI platform development
Python
Node.js
TypeScript
Azure AI
LangGraph
Distributed systems
API development
Agent orchestration
Cloud-native services
System architecture
Data retrieval
Observability
Governance
Technical mentorship

Benefits

Recurring hybrid work allowance
Competitive compensation
4 to 6 weeks of paid vacation
5 paid personal days
Group RRSP / DPSP plan with employer contribution
Complete group insurance plan
Annual wellness allowance
Lumino Health telehealth application
Flexible work hours

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
SaaS
Azure AI Foundry
Azure Cognitive Services
LangGraph
Python
Node.js
TypeScript
Angular
Agent Orchestration
Distributed Systems
API
SDK
Semantic Search
Vector Search
Observability
Governance
Responsible AI
IAM
Cloud-native
Automation
Backend Development
Infrastructure
Data Pipelines
Monitoring
Compliance
Mentorship
Healthcare BI
Advanced Analytics

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