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Added 23 mins ago
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Senior Systems Developer - Salesforce
Co-operators
Guelph, ON
- Full-time
As the Senior Systems Developer you will be a driving member of an integral team responsible for developing system-based solutions by formulating programs, developing, and maintaining codes…
Added 23 mins ago
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Dotnet Developer
SMARTFOX
Canada
- Full-time
Certifications: Microsoft AZ-204, AZ-900, AZ-305, or Azure Developer Associate
Added 23 mins ago
C
Senior Systems Developer - Salesforce
Co-operators
Mississauga, ON
- Full-time
As the Senior Systems Developer you will be a driving member of an integral team responsible for developing system-based solutions by formulating programs, developing, and maintaining codes…
Added 23 mins ago
C
Senior Systems Developer - Salesforce
Co-operators
Toronto, ON
- Full-time
As the Senior Systems Developer you will be a driving member of an integral team responsible for developing system-based solutions by formulating programs, developing, and maintaining codes…
Added 52 mins ago
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SQL Developer
SMARTFOX
Canada
- Full-time
Senior SQL Developer - 5+ years : Architecting data solutions, setting database standards, leading major initiatives, advising teams on design and performance
Added 1 hour ago
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Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
…problems, contribute to open-source communities, and mentor senior engineers while shaping the future of large-scale data…
Added 1 hour ago
IC
Senior ETL Developer
Infotek Consulting Inc.
Toronto, ON
- $90 to $101 CAD / hour
- Contract
We are seeking an experienced Senior ETL Developer to design, develop, and maintain data pipelines and backend applications supporting data warehousing, business intelligence, and analytics…
Added 1 hour ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Calgary, AB
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 1 hour ago
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Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 2 hours ago
Bilingual Senior Specialist, Software Engineering (Functional - D365 ERP F&O)
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC
Configure integrations with other CMHC systems, such as Microsoft D365 CRM and other Azure components such as Function Apps, Logic Apps, APIs.
Added 2 hours ago
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Technical Product Manager – Aviation Maintenance Data
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
- Full-time
Boeing Vancouver is seeking a Technical Product Manager reporting to the Senior Manager of the Schedule Reliability Portfolio working out of the Richmond, British Columbia office.
Added 2 hours ago
KG
Senior Platform Engineer
Kinross Gold Corporation
Toronto, ON
- Full-time
Support Microsoft Azure services and hybrid management capabilities including Azure Arc and centralized management platforms.
Added 2 hours ago
TI
Senior ETL Developer
Teckhorizon Inc
Toronto, ON
- $100 USD / hour
- Contract
Our Client is looking for an experienced Senior ETL Developer to design, develop, and maintain enterprise data pipelines, data warehouses, and Business Intelligence solutions. The ideal…
Added 2 hours ago
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Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
· Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer…
Added 2 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
· Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer…
Added 2 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
· Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer…
Added 2 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
· Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer…
Added 2 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
· Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer…
Added 3 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Certification in OpenShift or Microsoft Azure, such as Azure Developer Associate or Azure Solutions Architect Expert.
Added 3 hours ago
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Bilingual Senior Associate-Financial Crime and AML
PwC
Toronto, ON · Montreal, QC
- Full-time
As a Senior Associate-Financial Crime and AML, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 3 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Embed AI-assisted development into delivery workflows, leveraging tools like GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities to improve developer experience…
Added 3 hours ago
Senior Cyber and Risk Analyst (Computer Services Off 4)
The Government of Nova Scotia
Halifax, NS
As Senior Cyber and Risk Analyst, you’ll join the Cyber Security and Enterprise Risk team to help strengthen cybersecurity practices across government digital services. Following a…
Added 3 hours ago
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Conseiller(ère) en ingénierie de données sénior
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Formation: certification Microsoft Certified/Applied Skills : Azure Developer Associate (ou équivalent);
Added 3 hours ago
W
Conseiller(ère) en ingénierie de données sénior
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Formation: certification Microsoft Certified/Applied Skills : Azure Developer Associate (ou équivalent);

SE Health

Applied AI Software Engineer

Markham, ON, Canada

The total target compensation for this position is $87,000 - $108,000. · Full-time

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Job details

Pay: The total target compensation for this position is $87,000 - $108,000.
Job type: Full-time
Apply by: Nov 7, 2026
Experience: 7+ years of professional software development experience, including hands-on delivery of AI, machine learning, data, or automation solutions.
Posting language: English
Posted: Oct 8, 2026

Original job description

Position Summary

The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions within SE Health. The role translates business, clinical, and operational needs into production-ready applications using machine learning, generative AI, natural language processing, retrieval-augmented generation, agentic workflows and orchestration, automation, and related technologies.

Working with product, enterprise architecture, data, security, privacy, clinical, and software engineering partners, the Applied AI Software Engineer delivers solutions across the full development lifecycle, from discovery and prototyping through integration, release, monitoring, and continuous improvement. The role also applies modern agentic software development practices and AI coding agents under human review to increase delivery speed and consistency without compromising quality, security, or accountability. The position applies strong software engineering practices, responsible AI controls, and user-centred design to ensure AI capabilities are explainable, maintainable, cost-effective, and aligned with SE Health standards and strategic priorities.

Primary Accountabilities

AI Solution Design & Development

Translate business, clinical, and operational requirements into secure, maintainable AI solution designs and technical specifications.
Develop AI-powered applications, services, agents, and APIs using Python and TypeScript/Node.js, and approved frameworks, models, and cloud services.
Build retrieval-augmented generation solutions, including document ingestion, chunking, embeddings, vector search, grounding, prompt design, and response orchestration.
Select, configure, and integrate machine learning and foundation models based on quality, risk, privacy, latency, scalability, and cost requirements.
Create reusable components, implementation patterns, and technical documentation that accelerate consistent AI delivery.
Participate in architecture, design, and code reviews and align solutions with enterprise technology standards.
Design and build multi-stage large language model pipelines and hybrid retrieval combining vector and lexical search, with section-aware chunking, re-ranking, citation-level source attribution, checkpointing, resumability, and human-in-the-loop approval points.
Implement structured, schema-validated model outputs and tool calling, and build document ingestion, generation, redlining, and change-summary capabilities across Word, PDF, and web sources.

Software Engineering, Integration & Delivery

Build and maintain data pipelines, model integrations, REST APIs, and application components required to operationalize AI capabilities.
Apply version control, automated testing, peer review, continuous integration and delivery, containerization, and infrastructure automation practices.
Integrate AI services with enterprise applications, workflows, identity controls, data platforms, and approved cloud environments.
Develop unit, integration, regression, performance, and safety tests; troubleshoot defects and resolve production issues.
Collaborate in agile delivery with product owners, designers, data professionals, architects, security specialists, quality engineers, and operational teams.
Build full-stack application components in TypeScript and Node.js, including React and Next.js or equivalent, as well as Python, backed by relational databases with row-level security, versioned schema migrations, and immutable audit trails.
Apply agentic software development methodologies and AI coding agents, such as Claude Code, OpenAI Codex, GitHub Copilot, or equivalent, including specification-driven workflows, autonomous iteration loops, repository-level agent instruction files, custom commands, skills and hooks, subagent orchestration, Model Context Protocol servers, and tiered automated validation gates, with all agent-generated work peer reviewed, tested, and traceable in source control.

Responsible AI, Security & Quality

Embed privacy, security, accessibility, human oversight, transparency, and responsible AI requirements throughout the development lifecycle.
Design evaluation datasets and automated checks for accuracy, relevance, groundedness, hallucination, bias, toxicity, robustness, and task completion.
Protect sensitive health and personal information through approved data handling, access controls, logging, encryption, and secure development practices.
Document model choices, data lineage, limitations, risks, controls, testing evidence, and operational procedures to support governance and auditability.
Partner with privacy, security, legal, clinical safety, and risk stakeholders to resolve issues before release.
Build evaluation and guardrail infrastructure for generative and agentic workflows, including golden datasets, deterministic regression suites, retrieval and recall metrics, rubric scoring, model-as-judge assessors, least-privilege tool and data access, prompt-injection defences, sandboxed execution, and auditable human approval gates before any consequential action.

Operations, Evaluation & Continuous Improvement

Deploy and operate AI solutions in non-production and production environments using established DevSecOps and MLOps practices.
Implement monitoring and alerting for model quality, drift, latency, availability, token consumption, cost, security events, and user feedback.
Analyze telemetry and evaluation results to tune prompts, retrieval, models, workflows, and infrastructure.
Support incident response, root-cause analysis, defect remediation, and controlled rollback or recovery.
Stay current with emerging AI engineering practices and recommend practical improvements through prototypes and technical experiments.
Implement cost and token governance for AI workloads, including budget envelopes, per-run cost ledgers, caching, batching, and model routing.
Maintain run manifests, versioned prompts, and reproducibility evidence so AI runs can be traced, replayed, and rolled back.

Qualifications & Experience

Bachelor's Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Engineering, or a related technical field.
Equivalent combination of education, professional experience, and demonstrated technical capability will be considered. Relevant cloud, AI, machine learning, security, DevOps, or MLOps certifications are considered assets.
7+ years of professional software development experience, including hands-on delivery of AI, machine learning, data, or automation solutions.
Strong proficiency in Python and TypeScript/Node.js, source control, automated testing, API development, and SQL or data-processing workflows.
Hands-on experience with Microsoft Foundry, including Foundry Models, Agent Service, SDKs, model deployment, prompt flows or agent workflows, evaluation, tracing, monitoring, content safety, and enterprise governance.
Experience developing with Anthropic Claude models through the Claude Messages API, Anthropic SDKs, or Microsoft Foundry, including tool use, structured outputs, prompt caching, long-context workflows, and secure authentication using Microsoft Entra ID or API keys.
Experience building AI or generative AI applications using large language model APIs, prompt engineering, embeddings, vector search, retrieval-augmented generation, agentic orchestration, Model Context Protocol, and model evaluation.
Experience comparing and selecting models such as Claude, Azure OpenAI models, and other foundation models based on quality, safety, latency, context-window, data-residency, scalability, and cost requirements, including token budgeting, prompt and context caching, and model routing to manage spend and performance.
Experience with one or more machine learning or AI application frameworks and libraries, such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, Semantic Kernel, or equivalent tools.
Experience deploying cloud-based applications or AI services using containers, continuous integration and delivery pipelines, monitoring, and secure configuration practices.
Working knowledge of privacy, cybersecurity, responsible AI, data governance, and risk controls; healthcare or another regulated-sector context is an asset.
Demonstrated ability to communicate technical concepts clearly, work collaboratively, and deliver maintainable solutions in an agile environment.
Hands-on experience with agentic development methodologies and AI coding harnesses - such as Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or equivalent - including repository-level agent instruction files (AGENTS.md, CLAUDE.md), custom commands, skills and hooks, subagent orchestration, Model Context Protocol servers, and specification-driven delivery workflows such as GitHub Spec Kit.
Experience with full-stack web development (React, Next.js, or equivalent), relational databases with vector search such as PostgreSQL with pgvector, multi-stage LLM pipeline delivery with human-in-the-loop gates, generative AI evaluation infrastructure, and AI cost and token governance.

Competencies

Applied AI and software engineering
Python and TypeScript/Node.js, APIs, data integration, and cloud development
Microsoft Foundry, Foundry Models, Agent Service, evaluation, and observability
Anthropic Claude models, Messages API, tool use, and long-context application development
Generative AI, retrieval-augmented generation, agentic workflows, Model Context Protocol, prompt design, and evaluation
DevSecOps, MLOps, automated testing, monitoring, and troubleshooting
Privacy, security, accessibility, and responsible AI by design
Analytical problem-solving and attention to quality
Cross-functional collaboration and user-centred delivery
Clear technical documentation and communication
Agentic development methodologies and AI coding agents (Claude Code, OpenAI Codex, or equivalent) applied under human review
Full-stack web development – React and Next.js, PostgreSQL with pgvector, AI evaluation engineering, and cost and token governance

Why join SE Health?

Competitive Total Rewards So much more than a paycheque! Enjoy comprehensive benefits, pension, flexible pay options, car-loan support, housing solutions and exclusive staff perks.
Flexibility & Belonging Thrive with hybrid work, flexible scheduling and a supportive, inclusive culture that puts people first.
Innovative

At SE, we are always looking for new, innovative ways to improve. You’ll be encouraged and supported to identify and make improvements to the way we do our work. As a social enterprise, we support research into Senior’s Health and Aging.

Purpose & Impact Join a national social enterprise where your voice matters. Every role helps advance health, spark innovation and strengthen communities across Canada.
Growth That Meets Your Ambition Access tuition support, training and meaningful career pathways across a growing, future-focused organization.

About SE Health

SE Health is a not-for-profit social enterprise advancing health with heart. With 115+ years of impact, we bring hope, happiness and exceptional care to people and communities across Canada. We lead with empathy, dignity and purpose while building a future where everyone can realize their full health and well-being potential. We’re also an inclusive, supportive workplace offering competitive compensation, strong benefits and real opportunities to grow. We’re All In Together.

Accessibility: If you require accommodations due to illness or disability, please contact Talent Acquisition at careers@sehc.com .

AI and compensation details: We use AI to take notes during our interview. All applications and interviews are reviewed by our Talent Acquisition team. This role is a new addition. The total target compensation for this position is $87,000 - $108,000. The compensation offered is determined based on the successful candidate’s relevant experience, skills, and competencies, taking into consideration internal equity.

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More about this job

Responsibilities

Design, build, test, deploy, and support secure AI applications and services, including generative AI, retrieval-augmented generation, and agentic workflows. Integrate solutions into enterprise systems, apply responsible AI and security controls, and monitor and improve production performance, quality, and cost.

Requirements

Requires a bachelor's degree or equivalent combination of education and experience, plus 7 or more years of professional software development experience that includes hands-on AI, machine learning, data, or automation delivery. Candidates should be proficient in Python and TypeScript/Node.js and have experience with Microsoft Foundry, Claude, generative AI, cloud deployment, evaluation, security, and agentic development practices.

Skills

Python
TypeScript
Node.js
Microsoft Foundry
Anthropic Claude
Generative AI
Retrieval-Augmented Generation
Agentic Workflows
Model Context Protocol
Machine Learning
React
Next.js
PostgreSQL
Vector Search
DevSecOps
MLOps

Benefits

Comprehensive Benefits
Pension
Flexible Pay Options
Car-Loan Support
Housing Solutions
Staff Perks
Hybrid Work
Flexible Scheduling
Tuition Support
Training
Career Pathways

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Python
TypeScript
Node.js
Microsoft Foundry
Foundry Models
Agent Service
Anthropic Claude
Claude Messages API
Generative AI
Machine Learning
Retrieval-Augmented Generation
Vector Search
PostgreSQL
Pgvector
Model Context Protocol
React
Next.js
REST APIs
Prompt Engineering
Agentic Workflows
AI Evaluation
DevSecOps
MLOps
Continuous Integration and Delivery
Responsible AI
Privacy
Cybersecurity
Human-in-the-Loop
Token Governance

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