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Added 1 month ago
Senior Artificial Intelligence Platform Engineer & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
Build APIs, MCP Servers, integrations, and tooling through which domains, DevOps pipelines, and enterprise systems consume platform capabilities.
Added 1 month ago
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
Build APIs, MCP Servers, integrations, and tooling through which domains, DevOps pipelines, and enterprise systems consume platform capabilities.
Added 1 month 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 1 month ago
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 month ago
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Toronto, ON
Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 month ago
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 1 month ago
Technical Director, Live Games
Big Viking Games
Remote, Canada
Full-time · Remote
Review agent-produced code and recommendations as rigorously as you would review a senior engineer’s work.
Added 20 days ago
Staff Engineer - Agentic AI
RBC
Toronto, ON
Full-time
We’re looking for a Staff Engineer with strong hands-on experience in agentic AI systems who will contribute to accelerating agentic AI adoption across RBC. This role offers the opportunity…
Added 1 month ago
Senior Quality Assurance Specialist
Synechron
Toronto, ON · Greater Toronto Area, Canada
$120,000 to $125,000 CAD / year
Full-time
We are looking for an Automation Engineer - a developer-first, agentic thinker who will build the intelligent systems that keep Sophis, strategic front-to-back trading platform, running at…
Added 1 month ago
Senior Engineer, AI Native SDLC
Scotiabank
Toronto, ON
The Senior Engineer / Senior Manager is a hands on technical leader and SDLC owner responsible for building, defining, and scaling an AI Native Software Development Lifecycle (SDLC) across…
Added 22 days ago
Principal, Data Engineering & Architecture
Royal Bank of Canada
Toronto, ON
Full-time
…generation (RAG), embedding-based search, prompt engineering, and agent evaluation/guardrails frameworks to ensure agents behave reliably, safely, and within business policy…
Added 1 month ago
Principal, Data Engineering & Architecture
RBC
Toronto, ON
Full-time
…generation (RAG), embedding-based search, prompt engineering, and agent evaluation/guardrails frameworks to ensure agents behave reliably, safely, and within business policy…
Added 1 month ago
IAM Specialist
Kinross Gold Corporation
Toronto, ON
Full-time
…the enterprise Identity Governance and Administration (IGA) platform. This is a hands-on engineering role that is evolving from operational execution toward strategic oversight: as…
Added 1 month ago
Software Engineer III/Senior Software Engineer (Full Stack)
Workday
Vancouver, BC
Full-time
As a Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 1 month ago
Senior Full Stack Engineer
UST
Toronto, ON
Full-time
Drive DevOps and automation initiatives, enhancing CI/CD pipelines through intelligent agent integration to improve deployment speed and reliability.
Added 1 month ago
Service Now AI DevOps Engineer
McKesson
Mississauga, ON
Full-time
McKesson is seeking a Senior ServiceNow AI Engineer to deliver innovative AI-powered solutions that improve healthcare operations and employee experiences at enterprise scale. This role…
Added 25 days ago
Director, Developer Platform & Experience
Motive
Vancouver, BC
We are hiring a Director of Developer Platform & Experience to own that execution and the platform underneath it. This role owns Motive's internal developer ecosystem end to end: developer…
Added 2 months ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
Full-time
…tooling adoption across the company and we're building out the platform behind it: secure managed environments for AI coding tools, AI-assisted CI (automated PR reviews, fixes for failing…
Added 1 month ago
Senior AI Engineer, Full-Stack - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
This is production-grade AI embedded deeply into Workday's platform - not research experimentation or maintenance work. We ship to paying enterprise customers today, and we're kicking off a…
Added 1 month ago
Software Engineer AI - Multiple Levels
Diligent Corporation
Vancouver, BC
As a Software Engineer on Diligent's Platform AI team, you'll help design, build, and operate the core services that power AI-driven capabilities across Diligent's global product suite.…
Added 1 month ago
Staff AI Engineer
Maple
Toronto, ON
Full-time
Maple’s purpose is to meet the world's healthcare needs. We’re Canada's leading on-demand healthcare platform, connecting patients with Canadian-licensed doctors, nurse practitioners and…
Added 2 months ago
AI SDLC Engineer (Senior / Principal)
RAVL
Toronto, ON
Full-time
Rather than building customer-facing AI applications, you'll design and evolve the engineering platform that makes enterprise AI development scalable, secure, and repeatable. As a Senior or…
Added 2 months ago
Directeur.trice principal.e, opérations de l'expérience client // Senior Director, Customer Experience Operations
SSENSE
Montreal, Quebec
Full-time
…expérience éprouvée dans la gestion de flux de travail Agile/DevOps multi-équipes (par ex., SAFe) et de l'architecture des…
Added 1 month ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
…tooling adoption across the company and we're building out the platform behind it: secure managed environments for AI coding tools, AI-assisted CI (automated PR reviews, fixes for failing…
Added 2 months ago
Software Development Manager, Agentic AI DevOps
Amazon
Vancouver, BC
Do you want to help build AWS DevOps Agent, a frontier agent that investigates incidents and identifies operational improvements as an experienced DevOps engineer would?

Eclipse Automation

AI Software Engineer

Cambridge, ON, Canada

Pay: Compensation: $130,000 - $155,000
Job type: Full-time
Posting language: English
Posted: Aug 24, 2026

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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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