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Added 2 months ago
K
Systems Engineer - Linux Isolation & Networking
Kaseya
Toronto, ON
- $160,000 to $240,000 CAD / year
- Full-time
Systems Engineer - Linux Isolation & Networking
Added 2 months ago
K
Platform Backend Engineer - Go/Rust & Distributed Systems
Kaseya
Toronto, ON
- $160,000 to $240,000 CAD / year
- Full-time
Platform Backend Engineer - Go/Rust & Distributed Systems
Added 2 months ago
L
Senior Software Engineer, Data - Mapping
Lyft
Toronto, ON
- Full-time
As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of…
Added 2 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
Prior experience in a Solutions Architect or Solutions Engineer role at a B2B infrastructure or platform company
Added 2 months ago
SQ
AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote
SuperQ Quantum Computing
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
Cross-functional Deployment: Collaborate with backend and platform engineering teams to deploy highly scalable, low-latency AI endpoints within our Kubernetes-based infrastructure.
Added 2 months ago
BP
Full-Stack Engineer
Brightpathdigital Pro
Remote, Canada
- $30,000 to $40,000 USD / year
- Contract
- Remote
…products and scalable digital platforms. We focuses on reliable backend systems, intuitive user experiences, and infrastructure that supports complex financial workflows. This role will…
Added 1 month ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
Weʼre looking for a Senior Software Engineer with 5 - 8 years of professional experience to help design, build, and scale the production systems behind askpollyʼs AI-powered insights…
Added 1 month ago
Senior Application Engineer, Support
Teifi Digital
Vancouver, BC
We are seeking a Support Engineer to join our Product team as the technical owner of production issues across the apps we build and run - retail management, public apps, internal tooling,…
Added 2 months ago
PI
Senior QA Engineer – HIL & Test Automation
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Reproduce and isolate failures across hardware, firmware/edge software, networking, backend services, and test infrastructure.
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
Work across the technology stack, contributing wherever needed - from user interfaces and backend services to AI infrastructure, data workflows, and deployment pipelines.
Added 2 months ago
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Software Engineer, Data Mining
NationGraph
Remote, Canada
- $170,000 to $200,000 CAD / year
- Full-time
- Remote
We’re looking for a Software Engineer, Data Mining to own one of the most important technical problems at NationGraph: building the systems that acquire public-sector information from…
Added 2 months ago
T
Senior AI Tools Engineer - Developer Experience
Tubi
Toronto, ON
- Full-time
We’re looking for a Senior AI Tools Engineer - Developer Experience with deep expertise in C++ or Golang to lead the evolution of our backend platform and tooling. While our ecosystem has…
Added 1 month 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
F
Staff Software Engineer, Platform
Found
Remote, Canada
- Full-time
- Remote
We are looking for a Staff Software Engineer who’s capable of balancing moving fast while moving safely, understands (and loves) SLOs and SLAs, and has experience scaling systems from 1 to…
Added 4 months ago
FD
Senior Software Engineer (Laravel/PHP, Node.js, React)
Frontier Dental CA
Markham, ON
- $90,000 to $110,000 USD / year
- Full-time
We are looking for a Senior Software Engineer to own the technical direction of our web platform and lead a small development team of 2–4 engineers. This is a hands-on leadership role where…
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
8+ years of experience in backend/infrastructure engineering, with demonstrated expertise in building large-scale distributed systems
Added 2 months ago
C
ASIC Synthesis and STA Engineer - New Grad
Ciena
Ottawa, ON
- Full-time
As the global leader in high-speed connectivity, Ciena builds the critical infrastructure powering the AI era. We’re a technology company shaping the future of networking, guided by…
Added 2 months ago
PN
Senior Full-Stack Developer
Projekt Network
Remote, Canada
- $110,000 to $140,000 CAD / year
- Full-time
- Remote
Experience as an early engineer at a startup, or otherwise working without much scaffolding
Added 2 months ago
HC
Co-op Engineer - Machine Learning and AI Infrastructure
Huawei Canada
Markham, ON
- Full-time
Develop and maintain software tools and infrastructure for machine learning and AI workflows. Build backend services, APIs, automation tools, and system integrations.
Added 2 months ago
RE
Senior Software Engineer- Generalist (Apex Legends)
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
As a Senior Software Engineer, you will drive the development of foundational technologies and work to improve the performance and stability of Apex Legends. You will work closely with…
Added 2 months ago
N
QA Engineer (AI Systems)
Nexxa.AI
Remote, Canada
- Full-time
- Remote
You'll work closely with ML engineers, backend engineers, and Forward Deployed Engineers to define what "good" looks like for an agent operating in high-stakes industrial settings, then…
Added 2 months ago
N
Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
A backend engineer who wants to build the infrastructure powering real-world autonomous AI systems.
Added 2 months ago
R
Senior Software Engineer (Voyager)
Relay
Remote, Canada
- Full-time
- Remote
…we’re looking for a curious, impact-driven Senior Software Engineer (Voyager) to join our growing team – someone who thrives on taking smart risks, experimenting boldly, and learning from…
Added 2 months ago
P
Back End Software Developer II
Pixieset
Vancouver, BC
- Full-time
3+ years of experience as a Backend Developer or Platform Engineer building scalable backend services and infrastructure

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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