Jobs in Canada

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Added 2 months ago
QS
Software Dev Staff Engineer
Quest Software
Canada
- Full-time
Quest Software is seeking an AI Software Engineer to help define and advance AI-first software development practices for a cloud-native SaaS product on the Microsoft Azure platform. This…
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
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 2 months ago
WH
Applied AI Engineer
WELL Health Technologies Corp
Remote, Canada
- Full-time
- Remote
Reporting to the Senior Director, Digital Transformation, the Applied AI Engineer will design, build, deploy, and optimize AI-powered applications and solutions that create measurable…
Added 2 months ago
S
Forward Deployed Engineer (FDE) (Mid/Senior Level)
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Added 2 months ago
AM
Agentic AI / Data Engineer - DC GPU
Advanced Micro Devices, Inc
ON · ONTARIO-HOME OFFICE, Ontario
- Full-time
…infrastructure the easiest place to build and run AI. As an Agentic Data Engineer, you will build the data and agent systems that sit at the heart of this mission: production agentic AI…
Added 2 months ago
Staff Engineer (Platform)
Later
Vancouver, BC
We are seeking a Staff Engineer with a strong background in modern web development technologies and a passion for building high-quality, distributed applications within our Platform’s…
Added 2 months ago
GenAI Architect
Lantern
Calgary, AB · Edmonton, AB · Vancouver, BC · Toronto, ON
This role is ideal for someone passionate about transforming business processes through large language models (LLMs), multi-agent orchestration, and scalable AI infrastructure.
Added 2 months ago
W
Senior Software Development Engineer (Agent Factory)
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 2 months ago
N
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
- Full-time
- Remote
We're looking for a Lead / Senior / Staff QA Engineer to own quality for Nexxa's AI agent systems - products that plan, call tools, and take multi-step actions autonomously in industrial…
Added 2 months ago
O
Engineering Lead
OpusClip
Burnaby, BC
- $230,000 to $350,000 CAD / year
- Full-time
🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.
Added 2 months ago
RB
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Demonstrated experience designing and building MCP servers and tools with familiarity of agent-tool integration frameworks
Added 2 months ago
P
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
As a cybersecurity generalist at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and…
Added 2 months ago
R
Senior AI Engineer
RBC
Toronto, ON
- Full-time
Demonstrated experience designing and building MCP servers and tools with familiarity of agent-tool integration frameworks
Added 2 months ago
Senior Identity Engineer
Later
Vancouver, BC
5–7+ years of experience as a Security Engineer or Software Engineer with a strong security focus
Added 2 months ago
V
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
- Full-time
As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 2 months ago
Staff Engineer (Product)
Later
Vancouver, BC
We’re looking for a Staff Engineer to play a critical role in shaping the future of Later’s technology stack. This is a senior-level role for a highly skilled engineer who thrives in…
Added 2 months ago
Senior Engineer (Product)
Later
Vancouver, BC
The Senior Engineer is responsible for driving large-scale projects, delivering impactful features, and maintaining high engineering standards. You’ll solve complex problems, collaborate…
Added 2 months ago
Senior Engineer (Platform)
Later
Vancouver, BC
The Senior Engineer is responsible for driving large-scale projects, delivering impactful features, and maintaining high engineering standards. You’ll solve complex problems, collaborate…
Added 2 months ago
Intermediate AI Engineer
Price Industries Limited
Winnipeg, MB
Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Added 2 months ago
VC
AI Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
Develop autonomous multi-agent workflows using parallel orchestration tools (Claude Code CLI, OpenAI Codex)
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Remote, Canada
- Remote
Calabrio-Verint is looking for a highly skilled and experienced Senior Software Engineer, AI to perform a key role in our digital transformation program, and deliver exceptional customer…
Added 2 months ago
IF
Security Advisor PAM Specialist
Intact FC
Mississauga, ON · Ottawa, ON · Toronto, ON · Montreal, QC
- Full-time
Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity,…
Added 3 months ago
K
Senior Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
Hands-on experience building software with AI coding agents and tools (Claude Code, Cursor, GitHub Copilot, Codex, MCP, custom skills/subagents, automation agents, and multi-agent…
Added 3 months ago
K
Manager, SR&ED (Software Engineer)
KPMG
Vancouver, BC
- Full-time
Hands-on experience building software with AI coding agents and tools (Claude Code, Cursor, GitHub Copilot, Codex, MCP, custom skills/subagents, automation agents, and multi-agent…

Eclipse Automation

AI Software Engineer

Cambridge, ON, Canada

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

Apply on LinkedIn About employer

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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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Jobs in Canada