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Added 2 months ago
EA
AI Software Engineer
Eclipse Automation
Cambridge, ON
- Full-time
Build backend APIs, services, workers, and integration components using Python and one or more of .NET/C# or Node.js.
Added 2 months ago
TI
Threat Intelligence Engineer
Take-Two Interactive Software
Toronto, ON
- $100,000 USD / year
- Full-time
Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. The Company develops and publishes products…
Added 2 months ago
W
Software Developer
Wabtec
London, ON
- Full-time
…problem solving and design oversight, customer releases, and cybersecurity planning and compliance with internal…
Added 2 months ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure…
Added 2 months ago
Cybersecurity - Cloud Security - Senior Consultant
EY
Edmonton, AB · Vancouver, BC · Toronto, ON · Montreal, QC · AB · Calgary, AB
We are actively seeking a Cloud Security Senior Consultant to join our Cybersecurity team. You’ll work alongside respected industry professionals, learning about and applying leading…
Added 1 month ago
B
Embedded Software Engineer
BRP
Valcourt, QC
- Full-time
…solutions, including a CAN gateway designed to meet European cybersecurity requirements. From requirements analysis through integration and production release, you will play a central role…
Added 2 months ago
TH
Sr. Cyber Security Analyst - AI Security & Microsoft 365 Security
Trillium Health Partners
Mississauga, ON
- Full-time
The Senior Cybersecurity Analyst – AI Security & Microsoft 365 Security is a dedicated resource to Trillium HealthWorks and reporting to Cyber Defense and Identity Access Management team.…
Added 1 month ago
BC
BCG Platinion | Senior AI Tech Consultant, Tech Advisory & Delivery
Boston Consulting Group
Toronto, ON
- $160,000 CAD / year
- Full-time
…Delivery, Architecture, Enterprise Solutions and Packaged Software, Cybersecurity, and Technology Risk…
Added 2 months ago
S
Principal Consultant - Cybersecurity & Agentic AI
Synechron
Toronto, ON · Greater Toronto Area, Canada
- $130,000 to $145,000 CAD / year
- Full-time
As “Principal Consultant, Agentic AI Cybersecurity Engineer” Candidate will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and…
Added 2 months ago
PI
MLOps & Data Engineer
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is seeking an MLOps & Data Engineer to develop, maintain, and extend the Python framework and data foundation behind our production machine-learning systems. Models and…
Added 2 months ago
CR
Firmware and Software Developer, Intermediate
Cellula Robotics Ltd
Burnaby, BC
- $90,000 to $110,000 CAD / year
- Full-time
Cellula is looking to add an Intermediate Firmware & Software Developer to its Engineering team to support product development and project delivery.
Added 2 months ago
CR
Software Developer, Senior
Cellula Robotics Ltd
Burnaby, BC
- $120,000 to $130,000 CAD / year
- Full-time
Cellula is looking to add a Senior Software Developer to its Engineering team to support product development and project delivery.
Added 2 months ago
CR
Software Developer, Intermediate
Cellula Robotics Ltd
Burnaby, BC
- $90,000 to $100,000 CAD / year
- Full-time
Cellula is looking to add an Intermediate Software Developer to its Engineering team to support product development and project delivery.
Added 2 months ago
CR
Software UI Developer, Intermediate
Cellula Robotics Ltd
Burnaby, BC
- $90,000 to $100,000 CAD / year
- Full-time
Cellula is looking to add an Intermediate Software UI Developer to its Engineering team to support product development and project delivery.
Added 2 months ago
RS
Security Engineer
R Systems
Mississauga, ON
- Contract
…EDR/XDR, AWS, Azure, IAM, vulnerability management, and PowerShell/Python…
Added 2 months ago
GD
Cybersecurity Associate Specialist
General Dynamics Land Systems–Canada
London, ON
- Full-time
The Engineering Cybersecurity team evaluates existing systems for security risks based on industry best practices and an understanding of the threats faced by our vehicles. They collaborate…
Added 2 months ago
Pre-Sales Engineer, Canada
Tufin
toronto, or
Tufin is the leader in Network Security Policy Orchestration for enterprise cybersecurity. Our customers turn to Tufin to simplify management of some of the largest, most complex networks…
Added 2 months ago
KC
AI/ML Engineer - Agentic AI Systems
Kaseya Careers
Toronto, ON
- $160,000 to $240,000 CAD / year
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive…
Added 2 months ago
PC
Senior Associate SIEM Implementation
Pwc Canada
Toronto, ON · Ottawa, Ontario · Vancouver, British Columbia · Montreal, Quebec · Calgary, Alberta
- Full-time
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure…
Added 3 months ago
I
Senior Software Developer
IBM
Ottawa, ON
- $120,000 to $155,000 CAD / year
- Full-time
As an Application Developer, you will develop, support, and maintain applications.
Added 2 months ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
Build backend APIs, services, workers, and integration components using Python and one or more of .NET/C# or Node.js.
Added 2 months ago
GD
Cybersecurity Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
A Cybersecurity team member evaluates existing systems for security risks based on industry best practices and an understanding of the threats faced by our vehicles. The collaborate with…
Added 2 months ago
Senior Controls Software Developer
Ballard Spahr LLP
Burnaby, BC
…requirements and working knowledge of functional safety and cybersecurity standards and best practices to support ECU and software-level safety implementations. The successful candidate…
Added 2 months ago
IT & Tyresense Support Analyst
Rimex Supply Ltd.
Langley (District), BC
The role provides an opportunity to build skills across user support, troubleshooting, Python scripting, internal application support, software
Added 2 months ago
V
Sr. Spec, Security Ops & MDR Governance Lead
Vale
Canada
- Full-time
Incident Response leadership for major cybersecurity incidents

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

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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