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Added 1 month ago
Senior Release Engineer
Questrade Financial Group
Toronto, ON
Automation Scripting: Strong proficiency in Python, Bash, or Go for developing custom CLI automation tools and pipeline extensions.
Added 1 month ago
Senior Analytics Engineer (m/f/d)
AutoTrader.ca
Toronto, ON
Practical Python experience for data processing, automation, validation, or troubleshooting
Added 1 month ago
M
Director Data Engineering
McKesson
Mississauga, ON
- Full-time
Partner with Enterprise Data Platform team to implement automation and AI accelerator initiatives, and DevOps practices to enhance deployment speed and operational reliability
Added 1 month ago
Pre-Sales Engineer, Canada
Tufin
toronto, or
…and reliable application connectivity. Its network security automation enables enterprises to implement changes in minutes with proactive risk analysis and continuous policy…
Added 1 month ago
CI
Senior Quality Engineer, Real Assets, Alternative Investment Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Senior Quality Engineer, you will design, build and implement test automation to ensure quality delivery in support of value-add technology solutions and products. You will proactively…
Added 1 month ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
Be a technical leader for the development of automation systems in best engineering practices: define technical scope, review code and designs, mentor, and unblock - driving quality and…
Added 1 month ago
C
Data Center Provisioning Engineer
Cerebras
Toronto, ON
- Full-time
The Data Center Provisioning Engineer will be responsible for provisioning, commissioning, and validating network infrastructure, servers, and related systems across large-scale data center…
Added 1 month ago
KC
AI/ML Engineer - Agentic AI Systems
Kaseya Careers
Toronto, ON
- $160,000 to $240,000 CAD / year
Experience developing and operating production AI or machine learning systems using Python or a comparable programming language
Added 1 month ago
NI
Supply Chain Engineer II
NFI Industries
Kitchener, ON
- Full-time
The Supply Chain Engineer II (Solutions Design)will manage the development of engineering analysis to direct ongoing continuous
Added 1 month ago
MS
R&D Electrical Engineer (On-Site)
Myant Shared Service Corp.
Mississauga, ON
- Full-time
Myant Health is seeking an R&D Electrical Engineer to help design and develop the next generation of connected, textile-enabled medical and health technologies. You will own PCB and analog…
Added 1 month ago
RB
Lead AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Lead the design, development, and deployment of AI agents powered by Large Language Models (LLMs) for payment processing and automation use cases
Added 1 month ago
PC
Senior Associate SIEM Implementation
Pwc Canada
Toronto, ON · Ottawa, Ontario · Vancouver, British Columbia · Montreal, Quebec · Calgary, Alberta
- Full-time
Proficiency in scripting languages such as Python, PowerShell, and Bash for automation and data processing.
Added 1 month ago
TI
Building Automation Technician
Trane Italia
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 1 month ago
R
Lead AI/ML Engineer
RBC
Toronto, ON
- Full-time
Lead the design, development, and deployment of AI agents powered by Large Language Models (LLMs) for payment processing and automation use cases
Added 1 month ago
Z
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
- Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 3 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 1 month ago
Lead, Robotics Software Engineer
Locus Robotics
North Vancouver, BC
As a Lead, Robotics Software Engineer, you'll have the opportunity to lead the development and deployment of NeuraGrasp™, our advanced robotic grasping technology that is shaping the future…
Added 1 month ago
TT
Building Automation Technician
trane technologies
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 1 month ago
C
Senior Data Platform Engineer
Clio
Toronto, ON · Vancouver, BC · Calgary, AB
- Full-time
We are currently seeking a Senior Data Platform Engineer to join our rapidly growing Security team and help grow our Logging Engineering team. This role is for someone passionate about…
Added 1 month ago
N
Member Technical Staff - DevEx (NKP)
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
…escalated customer problems on a day-to-day basis as a Sustaining Engineer. You will be a vital part of our mission to maintain Nutanix's high industry standard NPS (Net Promoter Score) by…
Added 1 month ago
Senior Security Engineer II
Braze
Toronto, ON
…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 1 month ago
AI Software Engineer
Eclipse Automation
Cambridge, ON
Eclipse Automation delivers cutting-edge custom automated manufacturing solutions across multiple industries. We combine advanced automation expertise with digital innovation to create…
Added 1 month 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 1 month ago
SS
Enterprise Integration Engineer
State Street
Toronto, ON
- Full-time
We are seeking an experienced Atlassian & ServiceNow Engineer who will serve as a platform administrator, responsible for securing, maintaining, optimizing, and enhancing both ecosystems.…
Added 1 month ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Vancouver, BC
…resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context…

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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