Find work in Canada.

517,367 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
BS
Sr. Data Engineer - AI & Data Science
B3 Systems
Toronto, ON
- Full-time
…AI to dramatically enhance performance. As the Senior Data Engineer on our AI & Data Science team, you'll own the team's analytical data layer: the schemas, views, and pipelines that sit on…
Added 2 months ago
GT
ISE Control Systems Engineer
GeoSpectrum Technologies, Inc
Port Coquitlam, BC
- Full-time
For over 50 years, International Submarine Engineering (ISE) has been a world leader in the production of manned and unmanned underwater vehicles.
Added 1 month ago
JC
Senior Advanced Manufacturing Quality Engineer (NPI Quality)
Johnson Controls
Edmonton, AB · SA - Edmonton Orion
- Full-time
Join our team as a Senior Advanced Manufacturing Quality Engineer and play a lead role in ensuring the manufacturing quality and reliability of our new product introductions. Your expertise…
Added 1 month ago
Software Engineer II, Platform
Ripple
Toronto, ON
As a SE II Engineer, Platform you will play a critical role helping to advance Ripple's production infrastructure and release pipelines. Infrastructure Engineers at Ripple are a hybrid of…
Added 2 months ago
A
Senior Structural Engineer
AECOM
Burnaby, BC
- $150,000 to $175,000 CAD / year
- Full-time
AECOM's Buildings + Places team in Burnaby is seeking a Senior Structural Engineer to help deliver high-impact building and infrastructure projects across Western Canada while supporting…
Added 2 months ago
CM
Machine Learning Engineer
Clarius Mobile Health
Toronto, ON
- Temporary
Clarius Mobile Health is seeking a Machine Learning Engineer to contribute to a special project focused on expanding access to ultrasound technology while advancing our next-generation…
Added 2 months ago
C
Senior DevOps Engineer
CARET
Toronto, ON
- Other
Establish secure and reliable patterns for container deployment, workload scaling, configuration, upgrades, and production support.
Added 2 months ago
AC
Project Engineer | Civil
Albarrie Canada Limited
Barrie, ON
- $95,000 to $100,000 CAD / year
- Full-time
Support continuous improvement initiatives related to new product development, formulation changes, updated specifications, production trials, and engineering best practices.
Added 2 months ago
Senior Application Engineer, Support
Teifi Digital
Vancouver, BC
We are seeking a Support Engineer to join our Product team as the technical owner of production issues across the apps we build and run - retail management, public apps, internal tooling,…
Added 2 months ago
Full-Stack AI Engineer
Appnovation Technologies
Toronto, ON
As a Full-Stack AI Engineer, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias…
Added 2 months ago
LT
Manufacturing Systems Designer II (Mechanical)
LMI Technologies
Burnaby, BC
- Full-time
The Manufacturing Systems Engineer is responsible for optimizing production yield and cost-effectiveness of LMI parts and products, serving as a critical interface between R&D and…
Added 2 months ago
TH
Backend Engineer - 1 Year Contract
Teladoc Health Canada
Canada
- Contract
We’re looking for a Backend Software Engineer to join our growing engineering team and help build reliable, scalable backend systems that power our virtual care platform. In this role,…
Added 2 months ago
TH
Senior, DevOps Engineer - 1 Year Contract
Teladoc Health Canada
Canada
- Contract
Support production readiness: Transition proof-of-concept environments into production, implement disaster recovery strategies, and define operational standards for resilience and…
Added 1 month ago
Android Software Engineer, Lyft Urban Solutions
Lyft
Montreal, QC
Support and escalate production incidents as needed, and contribute improvements to on-call practices and long-term reliability
Added 2 months ago
VA
Ingénieur(e) de fabrication
Volatus Aerospace
Mirabel, QC
- Full-time
Reporting to the Executive Vice President, the Manufacturing Engineer will serve as the primary liaison between the Engineering and Production teams and the automation consulting firm…
Added 4 months ago
SA
Manufacturing Equipment Engineer
Stelumar Advanced Manufacturing Inc.
Canada
- Full-time
The Manufacturing Equipment Engineer leads the design, installation, and continuous improvement of the manufacturing equipment and machinery that keep our production sites running. This…
Added 2 months ago
Welding Mechanical Design Engineer
Alstom
Saint-Bruno, QC
The Welding Mechanical Design Engineer is responsible for the design, development, and industrialisation support of welded structural assemblies used in railway vehicles. The role combines…
Added 2 months ago
KS
Application Support
Kumaran Systems
Toronto, ON
- 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
TT
Site Reliability Engineer - AMER
Tyk Technologies
Remote, Canada
- Remote
Keep runbooks and documentation current, and support security work such as SOC 2 audits.
Added 2 months ago
B
Senior Security Engineer II
Braze
Toronto, ON
- Full-time
…such as MongoDB. We're looking for a Senior Cloud Security Engineer II to join our Security Engineering function as a senior individual contributor and technical leader for cloud…
Added 2 months ago
IS
Engineer-in-Training, Production Engineering
Irving Shipbuilding
Dartmouth, NS
- Full-time
The Engineer-in-Training also designs and drafts custom jigs, fixtures, and templates that support efficient production, while planning and executing engineering test programs that help…
Added 2 months ago
EA
AI Software Engineer
Eclipse Automation
Cambridge, ON
- Full-time
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
T
Senior Agentic Engineer
TribalScale
Toronto, ON
- Full-time
…complex business problems, rapidly design solutions, and deploy production-quality software in real-world environments. You will operate as both a hands-on engineer and a trusted technical…
Added 2 months ago
RR
Embedded Linux & Video Pipeline Engineer
Remote Robotic
Ottawa, ON · Kanata, ON
- $110,000 to $130,000 CAD / year
- Full-time
…technologies for mission-critical applications. Our solutions support customers across defence, public safety, security, industrial, infrastructure, energy, and government…
Added 2 months ago
RR
Hardware Engineer
Remote Robotic
Ottawa, ON · Kanata, ON
- $110,000 to $130,000 CAD / year
- Full-time
Airmetal is looking for a Hardware Engineer to design complex embedded electronics from requirements through production-ready hardware.

Eclipse Automation

AI Software Engineer

Cambridge, ON, Canada

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

Apply 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 About employer

More about this job

Responsibilities

Develop and deploy production-ready AI systems, agents, and RAG workflows to automate complex engineering and business processes. Build full-stack applications and data pipelines that integrate AI services with enterprise systems like ERP, PLM, and CAD.

Requirements

Requires five or more years of experience in production enterprise applications with practical expertise in LLM implementation and full-stack development (React, TypeScript, Python, and .NET/Node.js). A university degree or college diploma in computer science or a related engineering field is required.

Skills

AI Agents
Retrieval-Augmented Generation
React
TypeScript
Python
.NET/C#
Node.js
SQL
PostgreSQL
MySQL
REST APIs
CI/CD
Azure DevOps
Docker
Vector Search
Prompt Engineering

Benefits

RRSP Matching Program
Health Insurance
Dental Insurance
Vision Insurance
Tuition Reimbursement
Professional Dues Reimbursement
Paid Vacation
Personal Days
Sick Days
Free Snack Program

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
LLM
RAG
Embeddings
Vector Databases
React
TypeScript
Python
C#
.NET
Node.js
PostgreSQL
MySQL
GraphQL
SOAP
Azure OpenShift
Kubernetes
CI/CD
GitHub Actions
Azure DevOps
CAD/PDM
PLM
ERP
MES
NVIDIA Omniverse
OpenUSD
Digital Twin
Prompt Injection Defence
Model Orchestration
Git

Report this job