Jobs in Canada

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Added 2 months ago
C
Senior Data Platform Engineer
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
If you are local to one of our hubs (Burnaby, Calgary, or Toronto) you will be expected to be in office minimum two days per week for our Anchor Days
Added 2 months ago
IS
Consultant, Modern Networking - Alberta or British Columbia
IX Solutions Ltd.
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Plan and execute network security implementation or migration projects.
Added 2 months ago
IL
Principal AI Platform Infrastructure Engineer
Invesco Ltd.
Charlottetown, PE
- Full-time
The Principal AI Platform Infrastructure Engineer builds and operates the infrastructure platform that enables secure, scalable deployment of agentic AI solutions across the enterprise.…
Added 2 months ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
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,…
Added 2 months ago
Senior Agentic Engineer - JavaScript
TribalScale
Toronto, ON
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 2 months ago
KS
Application Support Specialist
Kumaran Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Seeking an experienced Application Support Analyst / Platform Support Engineer to support mission-critical banking applications and infrastructure platforms. The successful candidate will…
Added 2 months ago
S
Lead Site Reliability Engineer - Interface & Connectivity
SimCorp
Toronto, ON
- Full-time
As a Lead Site Reliability Engineer, you will act as the senior technical authority within our Interfaces & Connectivity Product Area - the team that establishes and maintains secure,…
Added 2 months ago
L
Senior Magento Engineer
Lazer
Remote, Canada
- Contract
- Remote
Lazer is seeking a Senior Magento Engineer to join our Commerce Team. As an engineer on this team, you will play a crucial role in migrating, implementing, upgrading, and optimizing Magento…
Added 2 months ago
WW
Vertical Systems Engineer (Presales Architecture) - Global Accounts - Canada
World Wide Technology
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Gains trust by meeting virtually and in person with IT, LOB, Security, and other key resources in a planned cadence with objectives for educating and discovering need
Added 2 months ago
MC
Senior / Intermediate Full Stack Engineer (Backend-Leaning)
MONKEY Catering Platform
Canada
- Full-time
…operate at scale. We’re looking for a backend-leaning Full Stack Engineer who enjoys solving meaningful product problems, designing thoughtful systems, and shipping high-quality software…
Added 2 months ago
E
Network Engineer
EllisDon
Mississauga, ON
- Full-time
Design, configure, and manage Azure cloud networking, including virtual networks (vNets), subnets, network security groups (NSGs), user-defined routes, private endpoints/DNS, VPN gateways,…
Added 2 months ago
Senior DevOps Engineer
Murex
Toronto, ON
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 2 months ago
MH
Sr. Platform Engineer
MedMe Health
Remote, Canada
- $116,000 to $156,000 CAD / year
- Full-time
- Remote
Drive our security and compliance posture on the infrastructure side, in partnership with our Enabling Engineer for Security and Compliance
Added 3 months ago
OI
Senior Cloud Architect
OXARO Inc.
Ottawa, ON
- Full-time
Provide solution, security, application, infrastructure, process, enterprise, and data architecture support, as required.
Added 3 months ago
OC
Senior OpenShift Engineer
OPTICCA CONSULTING INC.
Quebec, QC
- Full-time
Opticca Consulting Inc. is a Canadian technology consulting firm specializing in Microsoft Azure cloud infrastructure, enterprise landing zones, cloud migrations, and managed services. We…
Added 3 months ago
OC
Senior OpenStack Engineer
OPTICCA CONSULTING INC.
Quebec, QC
- Full-time
Opticca Consulting Inc. is a Canadian technology consulting firm specializing in Microsoft Azure cloud infrastructure, enterprise landing zones, cloud migrations, and managed services. We…
Added 3 months ago
OC
Senior RHEL Engineer
OPTICCA CONSULTING INC.
Quebec, QC
- Full-time
Opticca Consulting Inc. is a Canadian technology consulting firm specializing in Microsoft Azure cloud infrastructure, enterprise landing zones, cloud migrations, and managed services. We…
Added 3 months ago
OC
Senior Ansible Automation Specialist
OPTICCA CONSULTING INC.
Quebec, QC
- Full-time
Opticca Consulting Inc. is a Canadian technology consulting firm specializing in Microsoft Azure cloud infrastructure, enterprise landing zones, cloud migrations, and managed services. We…
Added 4 months ago
F
Expert Observability Engineer
Finastra
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Observability Engineer to lead and evolve our monitoring and observability capabilities across complex, hybrid environments. This role…
Added 2 months ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
The Principal AI Engineer will design and architect scalable, secure, and enterprise-grade AI/ML platforms and solutions that enable product teams to rapidly build and deploy AI…
Added 2 months ago
Senior Software Engineer - Cloud Platform & Data Architecture
MultiTech
Toronto, ON
Experience implementing CI/CD pipelines, Infrastructure-as-Code, and cloud observability solutions in Azure environments.
Added 3 months ago
PD
Senior Network Analyst
Precision Drilling
Calgary, AB
- Full-time
This role is ideal for a hands-on engineer with deep firewall, routing, and switching expertise who wants to work on real-world, business-critical infrastructure - not just maintain it.
Added 3 months ago
B
Team Lead, Cloud Business Office (CBO)
BRP
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Certifications: CCSK, Azure Security Engineer Associate, Google Professional Cloud Security Engineer, CISSP/CCSP, CKA/CKS
Added 2 months ago
Threat Intelligence Engineer
Take-Two Interactive Software, Inc.
Toronto, ON
We are looking for a Threat Intelligence Engineer. In this role, you will be on the front lines of our defense, helping to operationalize intelligence and build engineering solutions to…
Added 2 months ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
You’ll own the Azure platform that Thomson Reuters product engineering teams build on: the infrastructure itself - networking, identity, AKS, deployment pipelines - and equally the…

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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Work requirements

Jobs in Canada