Jobs in Canada

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Added 2 months ago
Principal Development Architect
SAP
Montreal, QC
…architecture expertise with hands-on experience in Generative AI, machine learning, cloud platforms, APIs, and enterprise application…
Added 2 months ago
Principal Technical Architect
Appnovation Technologies
Montreal, QC
…applications mobiles et web, analytique avancée et apprentissage machine, plateformes de gestion de contenu et…
Added 3 months ago
FR
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
- Full-time
Lead Machine Learning Engineer – AI Innovation Teams
Added 2 months ago
F
Senior Data Engineer / Ingénieur(e) de données senior
Flinks
Remote, Canada
- Full-time
- Remote
Designing and maintaining reliable datasets, data models, and feature pipelines used by machine learning and product teams.
Added 2 months ago
Research Officer (1-year Term)
University of Toronto
Toronto, ON
…focused on child health and the application of quantitative and machine learning methods to health research. The position will report to the Principal Investigators and will work closely…
Added 2 months ago
S
Principal Research Engineer/Scientist
ServiceNow
Montreal, QC
- Full-time
En tant que chercheuse ou chercheur principal, vous travaillerez sur des questions de recherche auxquelles la plupart des laboratoires d'IA n'ont tout simplement pas accès. ServiceNow AI…
Added 2 months ago
Principal Technical Program Manager, MADS
Amazon
Toronto, ON
…delivers: billions of aggregated datapoints that AI agents, machine learning models, and analytics engines around the world now depend on as AI reshapes how advertising is planned and…
Added 2 months ago
D
Data Science Manager
Deloitte
Calgary, AB
- Full-time
…various structured and ad-hoc analysis projects. You will be a principal link between data science team and the client and will regularly communicate insights on client projects and provide…
Added 2 months ago
OW
Oliver Wyman - Operations Supply Chain –Engagement Manager
Oliver Wyman
Toronto, ON
- Full-time
…toolkit, including artificial intelligence-driven tools, like our machine learning-based forecasting platform. We combine this with our deep project expertise and proven methods and…
Added 2 months ago
Solutions Architect
Appnovation Technologies
Toronto, ON
…from mobile and web applications to advanced analytics and machine learning, to content and engagement management service enablement…
Added 2 months ago
UH
Research Technical Assistant - AI and Multimodal Foundation Models
University Health Network
Toronto, ON
- Part-time
Develop, test, and optimize machine-learning and deep-learning methods using Python, PyTorch, and related frameworks.
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Lead Machine Learning Engineer – AI Innovation Teams
Added 3 months ago
T(
Staff Data Engineer
Tilt (f.k.a. Delphia)
Remote, Canada
- $210,000 to $270,000 CAD / year
- Full-time
- Remote
Design data models that support product development, machine learning, and long-term platform evolution.
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.
Added 3 months ago
E
Senior/Staff/Principal Product Manager, AI Orchestration & Agentic Workflows
EvenUp
Toronto, ON
- $177,650 to $273,370 CAD / year
- Full-time
This is a hybrid role based out of our San Francisco or Toronto offices, with an expectation of at least 3 days per week in office
Added 2 months ago
Principal Data and Applied Scientist
SAP
Montreal, QC
Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets.
Added 2 months ago
Principal Product Manager - Okta Identity Threat Detection and Response Products
Okta
Toronto, ON
We are seeking a Principal Product Manager, Okta Identity Threat Detection and Response Products, an individual contributor role, to drive the evolution of Okta’s cutting-edge identity…
Added 2 months ago
N
Senior Forward-DeploData Scientist/ Scientifique des données principal(e) déployé(e) (niveau Senior, Forward-Deployed)
NBCUniversal
Montreal, QC
- Full-time
…centered on bridging the gap between raw data and high-quality machine learning inputs, requiring a blend of technical expertise and cross-functional…
Added 2 months ago
FR
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Ratings
Toronto, ON
- Full-time
…ambition of everyone around them. If you've spent time deep in machine learning or AI systems - not just using them, but building them - that's not just a bonus, it's the kind of background…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 2 months ago
W
Principal AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is…
Added 2 months ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
Prototype alternatives quickly, measure results, document findings, and help the Principal AI Architect make evidence-based architecture and technology decisions.
Added 2 months ago
Lead Software Engineer, Full-Stack Applications - Innovation Teams
Fitch Group
Toronto, ON
…community. If you’re looking for purposeful work, constant learning, and a place where your impact and growth accelerate - this is where you’ll…
Added 3 months ago
ML
Développeur principal de produits
Maple Leaf Foods Inc
Laval, QC
- Full-time
Added 1 month ago
Q
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering

Eclipse Automation

AI Software Engineer

Cambridge, ON, Canada

Compensation: $130,000 - $155,000 · Full-time

Apply on jobs.dayforcehcm.com About employer

Applications open in a new tab.

Job details

Pay: Compensation: $130,000 - $155,000
Job type: Full-time
Posting language: English
Posted: Aug 24, 2026

Original job description

Job Title: AI Software Engineer

Location: Cambridge, ON | On-site

Job Type: Full-Time

Compensation: $130,000 - $155,000

Benefits: RRSP, health/dental/vision package, reimbursement for tuition and professional dues, paid vacation, personal days, and sick days

Get to Know Us:

Eclipse Automation delivers cutting-edge custom automated manufacturing solutions across multiple industries. We combine advanced automation expertise with digital innovation to create smart, efficient, and sustainable manufacturing systems. Our global network includes facilities in Canada, the United States and Hungary ensuring regional expertise and global strength.

The Position:

Eclipse Automation is advancing a multi-year digital transformation that connects AI, engineering data, simulation, and enterprise systems to change how custom automation machines are designed, built, delivered, and supported. We are building AI services and agents that give employees better access to institutional knowledge, automate complex workflows, and connect information across engineering and business systems.

We need a AI Software Engineer who can turn architecture and technical plans into secure, reliable, production-ready solutions. Approximately 70–80% of the role will focus on AI systems, agents, retrieval, evaluation, and model integration. The remaining work will apply full-stack development, APIs, data pipelines, and enterprise integration to support those solutions.

What You’ll Be Doing:

Build AI Systems and Agents
- Implement AI assistants, agents, retrieval-augmented generation systems, intelligent search, knowledge workflows, automation services, and reusable AI platform components.
- Translate approved architecture, requirements, constraints, and acceptance criteria into working software, testable increments, deployment plans, and maintainable technical documentation.
- Build tool-using and multi-step agent workflows that safely interact with enterprise APIs, databases, files, engineering systems, and approved business processes.
- Implement model orchestration, prompt and context management, structured outputs, memory, retrieval, embeddings, reranking, guardrails, human review, and failure-handling patterns.
- Create automated and human evaluation workflows for quality, groundedness, task completion, safety, latency, reliability, regression detection, and business usefulness.
- Prototype alternatives quickly, measure results, document findings, and help the Principal AI Architect make evidence-based architecture and technology decisions.
- Support both locally hosted and approved cloud AI models and services while respecting security, privacy, performance, capacity, and cost requirements.
Develop Full-Stack Applications and Services
- Build web applications and portals used by engineers, project teams, and leadership, with a focus on interfaces that support AI-enabled workflows.
- Develop responsive React and TypeScript frontends that make complex AI and engineering capabilities understandable and usable.
- Build backend APIs, services, workers, and integration components using Python and one or more of .NET/C# or Node.js.
- Create secure authentication, authorization, validation, error handling, logging, configuration, and administrative capabilities required for production operation.
- Design maintainable service boundaries and interfaces that can be reused across multiple AI use cases instead of creating isolated one-off applications.
Connect Enterprise Data and Engineering Systems
- Build and consume REST, SOAP, GraphQL, event, and file-based interfaces that connect AI solutions to internal systems and approved external services.
- Develop data pipelines and services that move, transform, contextualize, index, and synchronize information across CAD/PDM, PLM, ERP, MES, databases, file stores, and OpenUSD/Omniverse layers where required.
- Work with SQL databases, including MySQL and PostgreSQL, and with vector-search or hybrid-retrieval technologies used by AI applications.
- Protect production data and system stability while modernizing around long-lived applications, schemas, interfaces, and operational constraints.
- Diagnose data-quality, identity, permissions, performance, and integration issues across system boundaries and communicate risks early.
Test, Deploy and Operate
- Write clean, testable, well-documented code with appropriate unit, integration, end-to-end, load, security, and AI-evaluation coverage.
- Use Git-based workflows, pull requests, automated quality checks, and CI/CD through Azure DevOps, GitHub Actions, or similar platforms.
- Containerize and deploy services to Azure OpenShift or other approved environments, monitor production behaviour, troubleshoot failures, and improve reliability based on real usage.
- Instrument applications and AI workflows with useful logs, metrics, traces, evaluation results, usage data, and alerts while protecting sensitive information.
- Create deployment, rollback, recovery, support, and operational documentation so systems can be maintained beyond the initial implementation.
- Respond constructively when testing disproves an assumption; pivot the implementation without defensiveness and preserve the learning in documentation and reusable patterns.
Collaborate and Execute
- Work primarily from the architecture, priorities, and technical direction established by the Principal AI Architect while taking ownership of implementation details and delivery outcomes.
- Bring forward technical alternatives and improvement ideas with evidence, prototypes, benchmarks, or clearly explained trade-offs.
- Participate constructively in design and code reviews, incorporate feedback, and commit to the agreed technical direction once a decision is made.
- Use AI coding tools such as Codex, Claude Code, Cursor, or similar systems as part of the daily engineering workflow while maintaining human review, security, testing, and accountability.
- Collaborate with engineering, applications, IT, cybersecurity, operations, and subject-matter experts to ensure solutions fit real workflows and production constraints.
Contribute to architecture records, standards, reusable libraries, playbooks, and shared knowledge that make the broader team more effective

What We’re Looking For:

Required Experience and Capabilities
- Five or more years building and supporting production enterprise applications, services, integrations, or data platforms.
- Practical experience implementing AI/LLM solutions such as agents, retrieval-augmented generation, embeddings, vector search, structured outputs, tool use, evaluation, context engineering, or model integration.
- Frontend development experience with React and TypeScript.
- Backend development experience with Python plus .NET/C# or Node.js, including production APIs, background services, authentication, error handling, and observability.
- Strong SQL skills, including queries, schema design, migrations, performance, and safe work with production databases; MySQL and PostgreSQL experience are valuable.
- Experience building and consuming REST, SOAP, or GraphQL APIs and integrating systems with different data models, ownership boundaries, and operational constraints.
- Experience with Git, pull requests, automated testing, CI/CD, containers, deployment, monitoring, and production troubleshooting.
- Active and effective use of AI coding assistants in a professional development workflow.
- University degree or college diploma in computer science, software engineering, engineering, information technology, or an equivalent combination of education and relevant experience.
Preferred Experience
- Model-serving or AI-platform infrastructure, including local or cloud inference, GPU-backed workloads, embedding and reranking services, model gateways, or capacity and performance testing.
- Agent orchestration frameworks, evaluation platforms, vector databases, PostgreSQL/pgvector, hybrid retrieval, knowledge graphs, or enterprise search.
- Azure, Azure OpenShift, Kubernetes, container registries, secrets management, identity integration, infrastructure automation, and production observability.
- Manufacturing, industrial automation, engineering data, CAD/PDM, PLM, ERP, MES, NVIDIA Omniverse, OpenUSD, simulation, or digital-twin environments.
- Security, privacy, responsible AI, prompt-injection defence, access control, auditability, and safe integration of AI with enterprise tools and actions.

What We Offer:

Reimbursement for tuition and professional dues
3 weeks of vacation and 3 paid personal days (to start)
RRSP matching program
Free snack program

Why Join Us:

Here at Eclipse Automation, creation and innovation are at our core, and our culture reflects that. Fast-paced and continuously fostering growth, we encourage the entrepreneurial spirit that our teams embody, and leverage each of their strengths to do better for our people, our clients, and our communities.
Our teams are made up of innovators, thinkers, and doers, with the know-how and expertise to exceed expectations, and the relentless spirit to create and reinvent. Our people are what enable us to live up to our name - to eclipse all others, inspiring and creating outcomes that change the world.

Eclipse Automation is committed to creating an accessible and inclusive work environment. It is our policy to recruit and select applicants solely on the basis of their qualifications. We are an equal opportunity employer that hires talent regardless of age, race, creed, colour, religion, national origin, ancestry, marital status, sexual orientation, gender identity or expression, disability, or any other status or condition protected by applicable law.

At Eclipse Automation, we believe in the power of human connection. We do not use AI in our hiring process; every application is personally reviewed by a member of our team to ensure each candidate receives careful consideration.

This publicly advertised job posting is for an existing vacancy. We are seeking a qualified candidate to join our team and assume the responsibilities of this role.

Eclipse Automation encourages applications from all qualified candidates. Those in need of accommodation at any stage of the recruitment process should notify eca_hresources@eclipseautomation.com. Any information received that relates to accommodation needs of a candidate will be addressed in a confidential manner.

Apply on jobs.dayforcehcm.com About employer

More about this job

Responsibilities

The AI Software Engineer will build and deploy AI agents, retrieval systems, and intelligent workflows to support digital transformation in manufacturing. They will also develop full-stack applications and integrate enterprise data systems to ensure reliable, production-ready solutions.

Requirements

Candidates must have at least five years of experience in enterprise application development and practical experience with AI/LLM technologies. Proficiency in React, TypeScript, Python, and backend frameworks like .NET or Node.js is required, along with a relevant university degree or college diploma.

Skills

Artificial Intelligence
Software Engineering
React
TypeScript
Python
C#
.NET
Node.js
SQL
Retrieval-Augmented Generation
API Development
CI/CD
Azure DevOps
Containerization
Machine Learning
System Integration

Benefits

RRSP matching
Health package
Dental package
Vision package
Tuition reimbursement
Professional dues reimbursement
Paid vacation
Personal days
Sick days
Free snack program

Visa sponsorship

Not detected in the job text

Keywords

AI
Software Engineering
React
TypeScript
Python
C#
.NET
Node.js
SQL
MySQL
PostgreSQL
REST
GraphQL
Azure
OpenShift
Kubernetes
CI/CD
Git
LLM
Retrieval-Augmented Generation
Automation
Manufacturing
CAD
PLM
ERP
MES
Omniverse
OpenUSD
Data Pipelines
System Integration

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Jobs in Canada