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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
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…application workflows using tools such as Selenium, PyTest, Python, and related automation…
Added 1 month ago
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
Knowledge of scripting languages (Python, JavaScript, etc.).
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
…Delivery for engagement assignment, the SAP AI Orchestration Developer designs and builds AI-enabled business processes on the SAP Business AI…
Added 1 month ago
A
Senior Software Engineer, Behavior Planning
AeroVect
Remote, Canada
- $160,000 to $200,000 CAD / year
- Full-time
- Remote
Design, write, and maintain efficient and scalable code in C++ and Python
Added 1 month ago
K
AI Platform Engineer, Enablement and Governance Operations
Kraken
Canada
- Full-time
Demonstrated ability to build and ship working software, not just configure vendor products. Python or a comparable language should be natural to you. Version control, CI, containers, and…
Added 1 month ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
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
Strong backend/software engineering foundation (Python, APIs, system design)
Added 1 month ago
B
Enterprise Architect – AI and Data
BMO
Toronto, ON · FCP
- Full-time
Proficiency in Python, SQL, and other relevant programming languages.
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
Data Processing: ArcGIS Geoprocessing Tools, ModelBuilder, basic Python/ArcPy
Added 1 month ago
S
GIS Manager
SYSTRA
Toronto, ON
- Full-time
Data & Automation: Python, ArcPy, Arcade, FME / FME Flow
Added 1 month ago
IF
Data Analyst
iA Financial Group (Industrial Alliance)
Quebec, QC
- Full-time
Has experience in the insurance or financial services industry. Knowledge of a programming language used in data analysis, such as Python or R, is considered an asset.
Added 1 month ago
CO
DevOps Engineer
Caspian One
Toronto, ON
- $80 to $110 CAD / hour
- Contract
Added 1 month ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
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++.
Added 1 month ago
EC
Ingénieur(e) principal(e) en réseaux de puissance / Lead Power System Engineer
Eaton Corporation
Brossard, QC
- Full-time
Connaissance du langage de programmation : Python, y compris la familiarité avec l'analyse et la manipulation de données à l'aide de bibliothèques Python telles que Pandas, NumPy et…

Petal

Senior AI Platform Developer

Remote, Canada

Remote

Full-time

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Job details

Job type: Full-time
Workplace: Remote
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!

Apply About employer

More about this job

Responsibilities

Design, build, and operate production-grade AI platform capabilities to enable product teams to create and manage AI agents. Define technical standards for agent deployment, observability, governance, and security across the organization.

Requirements

Requires 10+ years of hands-on experience building and operating SaaS products and AI infrastructure. Strong proficiency in distributed systems, cloud-native services, and modern AI/LLM orchestration frameworks is essential.

Skills

AI platform development
SaaS product development
Azure AI
Python
Node.js
TypeScript
Agent orchestration
LangGraph
Distributed systems
Cloud-native services
API design
AI evaluation
Agent observability
System architecture
Technical leadership
Mentoring

Benefits

Recurring hybrid work allowance
Paid vacation
Paid personal days
Group RRSP / DPSP plan
Group insurance plan
Annual wellness allowance
Telehealth application access
Flexible work hours

Visa sponsorship

Not detected in the job text

Keywords

AI Platform
SaaS
Azure AI Foundry
Azure AI Search
LangGraph
Python
Node.js
TypeScript
Angular
Agent Orchestration
IAM
Observability
Semantic Search
Vector Search
Responsible AI
SDLC
ADLC
Cloud-native
API
SDK
Governance
Automation
Backend
Distributed Systems
Healthcare BI
Analytics
Machine Learning
LLM
Deployment
Monitoring

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