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Added 2 months ago
BC
Engineer and Project Leader, Automation (Relocation to Sept-Îles)
BBA Consultants
Quebec, QC
- Full-time
To pursue project and client development in the Sept-Îles region, BBA wants to bolster its local multidisciplinary team. Working closely with our offices in Labrador City, Montréal and…
Added 2 months ago
AE
Controls Engineer
Aiolos Engineering Corporation
Toronto, ON
- Full-time
The Controls Engineer will be an authority on control system design and implementation. They will lead the controls effort for a project from start to finish – designing and documenting…
Added 1 month ago
GS
Electrical Engineer/Designer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is a recognized leading provider of integrated automation, smart manufacturing and industrial information solutions in the global marketplace. Our clients are some of the worlds…
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 2 months ago
KG
Sr. Mechanical Engineer
KION Group
Mississauga, ON
- Full-time
Dematic Canada is seeking a talented Mechanical Engineer to join our Canadian Mechanical Engineering team! The Mechanical Engineering team performs engineering assignments with clear and…
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
GP
Controls Engineer II
Generac Power Systems
Toronto, ON · Cambridge, ON
- Full-time
…customer‑facing, high‑pressure environments. In addition to project delivery, the Controls Engineer contributes to team performance by collaborating with peers, supporting knowledge…
Added 2 months ago
BT
Senior Director, MSAT
BlueRock Therapeutics
Toronto, ON
- Full-time
…platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients suffering from neurological and ophthalmological…
Added 2 months ago
EA
AI Software Engineer
Eclipse Automation
Cambridge, ON
- Full-time
Eclipse Automation delivers cutting-edge custom automated manufacturing solutions across multiple industries. We combine advanced automation expertise with digital innovation to create…
Added 2 months ago
M
Principal Software Engineer - Distributed Systems
Microsoft
Vancouver, BC
- Full-time
The Fabric Mirroring team is currently seeking a Senior Software Engineer to join their team. This team oversees designing, building, and operating a next generation service that transfers…
Added 2 months ago
N
Software Engineer 4- Ink
Netflix
Vancouver, BC
- Full-time
Collaborate effectively with immediate team peers and cross-functional project partners (e.g., project meetings, code reviews), and help support interns and other team members.
Added 2 months ago
M
Reliability and Maintenance Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
We are looking for a Reliability and Maintenance Engineer to join our satellite systems team at our Montreal office.
Added 2 months ago
AM
Lead IP Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a Lead Verification Engineer in the AECG Group, you will help bring to life cutting-edge FPGA, ASICs for variety of target customers. As a member of the front-end design/integration…
Added 2 months ago
KS
Quality Assurance Automation Engineer
Kumaran Systems
Toronto, ON
- Full-time
We're looking for an entry-level QA Engineer to join our Regression Testing team. You'll help validate application functionality across releases, execute automated and manual test suites,…
Added 2 months ago
BC
Engineer and Project Leader, Automation (Relocation to Sept-Îles)
BBA Consultants
Val-d'Or, QC
- Full-time
To pursue project and client development in the Sept-Îles region, BBA wants to bolster its local multidisciplinary team. Working closely with our offices in Labrador City, Montréal and…
Added 2 months ago
P
Manufacturing Engineer
Panelmatic
Burnaby, BC
- Full-time
The Manufacturing Engineer is responsible for designing, implementing, and optimizing manufacturing processes to ensure efficient, high-quality, and cost-effective production. This role…
Added 2 months ago
B
Energy Engineer
BGIS
Markham, ON
- Full-time
Reporting to the Director of Energy and Sustainability, the Energy Engineer’s main responsibilities will include the management and implementation of a portfolio-wide Energy Management Plan…
Added 2 months ago
B
Senior Energy Engineer
BGIS
Markham, ON
- Full-time
Reporting to the Director of Energy and Sustainability, the Senior Energy Engineer’s main responsibilities will include the management and implementation of a portfolio-wide Energy…
Added 2 months ago
A
Junior Mechanical Engineering Analyst
AtkinsRéalis
Pickering, ON
- Full-time
…and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a…
Added 2 months ago
C
ASIC Synthesis and STA Engineer - New Grad
Ciena
Ottawa, ON
- Full-time
Collaborate closely with ASIC integration, IP development, physical design, and external Electronic Design Automation (EDA) partners to align frontend and backend implementation activities
Added 2 months ago
VE
Ingénieur(e) d'exécution de projets/Execution Project Engineer
Veolia Environnement SA
Montreal, QC
- Full-time
Reporting to the Project Execution Manager, you'll be at the heart of the action. As a Project Execution Engineer, you won't just document - you'll guide our water treatment projects…
Added 2 months ago
VB
R&D Mechanical Engineer I
Velocity Bolting
Burnaby, BC
- $80,000 to $88,000 CAD / year
- Full-time
tl;dr - You are a hands-on mechanical engineer who can take a concept from CAD to a test stand and tell us what actually happened.
Added 1 month ago
JC
Energy Manager - Customer Advisor - Open Blue
Johnson Controls
Richmond Hill, ON · Toronto, ON
- Full-time
…in roles such as Customer Success Manager, Account Manager, Project Manager, Performance Assurance Engineer, and/or Technical…
Added 2 months ago
AF
HR Process Excellence & Ops Specialist
Armstrong Fluid Technology
Toronto, ON
- Full-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our planet. As part of our team, you'll be immersed in an environment that fosters growth,…
Added 2 months ago
CC
Senior Embedded Software Engineer
Corinex Communications
Vancouver, BC
- Full-time
Corinex is seeking an experienced Senior Embedded Software Engineer to join our engineering team in developing next-generation smart grid communication devices. In this role, you will work…

Eclipse Automation

AI Software Engineer

Cambridge, ON, Canada

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

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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.

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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

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