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Added 3 days ago
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Information Technology - Senior/Lead, Data Visualization Engineer, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
Aritzia is growing, and our Product Business Technology team is growing with it. This is a unique opportunity to join the Product Business Technology department, where you will be part of…
Added 3 days ago
Production Engineer, New Graduate Opportunity, (12-month contract)
Siemens
Concord, ON
Support continuous process improvement initiatives, including Design for Manufacturability (DFM), Design for Test (DFT), defect reduction, and process optimization.
Added 3 days ago
WI
Senior Project Manager, Municipal Engineering
WSP in Canada
Fort McMurray, AB
- Full-time
…client relationships, oversee project delivery, support business development initiatives, and provide technical and construction administration leadership. Projects may include water,…
Added 3 days ago
A
Ingénieur principal ou ingénieure principale / responsable technique
Alithya
Pickering, ON
- Full-time
To ensure our hiring process is transparent, we want to inform all applicants that we utilize Artificial Intelligence (AI) technologies, including those integrated into our recruitment…
Added 3 days ago
TU
Research Engineer
The University of British Columbia
Kelowna, BC
- $6,631.67 to $9,533.25 CAD / month
- Full-time
Leads end-to-end experiment design and optimization for electrode materials, driving development from raw materials through electrode manufacturing and pouch cell fabrication for…
Added 3 days ago
C
Senior Identity Security Engineer
CPKC
Calgary, AB
- Full-time
Design, support, and troubleshoot CyberArk integrations with Windows, Linux/UNIX, databases, network devices, cloud platforms, directory services, SaaS applications, and other enterprise…
Added 3 days ago
S
Engineering Specialist, Facilities (Compression)
SaskEnergy
Regina, SK
- Full-time
Lead the development and optimization of corporate design standards and operating procedures for facilities such as compressor stations, gas processing plants, solution mining stations, etc.
Added 3 days ago
WI
Senior Project Manager, Alternative Delivery
WSP in Canada
Winnipeg, MB
- Full-time
Join our Transportation – Alternative Delivery team in Winnipeg and take a leading role in delivering complex P3 and alternative delivery projects. You’ll help shape major transportation…
Added 3 days ago
LG
Systems Integration Manager
Lotus Group
AB · Edmonton, AB
- Full-time
Reporting to the Director of Operations and Quality, the Project Manager will serve as the primary connection between the company and its customer engineering teams, overseeing the…
Added 3 days ago
Z
Software Developer 1
Zynga
Toronto, ON
- $73,900 to $109,360 CAD / year
…software engineers are blazing trails in all facets of game design, mobile development, web technologies, and massive scalability. Zynga faces a number of technical challenges - but many…
Added 3 days ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
Aviva
Markham, ON
Aviva Canada is looking for a Data Engineer to support our enterprise data modernization journey. You’ll use your expertise across modern and legacy platforms to build robust data pipelines…
Added 3 days ago
AM
Sr. Systems Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The Datacenter Hardware Lab Team is seeking a highly motivated Hardware Design Verification Engineering Intern/Co-op to support the testing, validation, and debugging of AMD’s…
Added 3 days ago
G
Engineer or Engineer-In-Training, Processing, Water Operations
Glencore
Sparwood, BC
- $91,300 to $126,800 CAD / year
- Full-time
Reporting to the Senior Engineer, Process, the Engineer/EIT, Processing, Water Operations, is responsible for process data analysis and execution of continuous improvement initiatives at…
Added 3 days ago
TT
Systems Design Engineer III
Teledyne Technologies Incorporated
Waterloo, ON · Canada - Waterloo, ON
- Full-time
…industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental…
Added 3 days ago
E
Civil Project Engineer/ Project Manager
EXP
Markham, ON
- Full-time
EXP is currently searching for a Civil Project Engineer / Project Manager in our Markham office. Our team works in a fast-paced environment and growth oriented, ideally suited for…
Added 3 days ago
Senior Developer
Scotiabank
Toronto, ON
The Product Onboarding team is seeking a hands-on Senior Engineer to design and deliver modern, cloud-native onboarding applications using JavaScript, TypeScript, MongoDB, Express.js,…
Added 3 days ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- Full-time
Our client operates large-scale, technology-driven platforms that process enormous volumes of data and support complex, mission-critical applications. Their engineering environment is built…
Added 3 days ago
AC
Project Accountant
Accenture Construct
Toronto, ON
- Full-time
Set up new projects in Vantagepoint, including contracts, tasks, and billing structures, and process all related change orders
Added 3 days ago
A
Information Technology - Senior/Lead, Data Visualization Engineer, Product Business Technology
Aritzia
Vancouver, BC
- Full-time
Aritzia is growing, and our Product Business Technology team is growing with it. This is a unique opportunity to join the Product Business Technology department, where you will be part of…
Added 3 days ago
AI Engineer
Eclipse Automation
Cambridge, ON
We need a AI 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,…
Added 3 days ago
I-
Java Developer or Python Developer with Data Lineage and meta data
I8IS - Infiniti Software Solutions
Mississauga, ON
- Full-time
Strong Python development with solid object-oriented and functional design skills.
Added 3 days ago
TB
Senior DevOps Engineer (SRE / Platform Engineering)
TLNT Bridge Recruiting
Vancouver, BC
- $113,900 to $147,000 CAD / year
- Full-time
Our client operates large-scale, technology-driven platforms that process enormous volumes of data and support complex, mission-critical applications. Their engineering environment is built…
Added 3 days ago
II
Embedded Electrical Engineer
Intero Integrity
Toronto, ON
- Full-time
The Embedded Electrical Engineer supports the development, maintenance, and continuous improvement of robotic inspection systems. This role suits a versatile engineer who enjoys a broad…
Added 3 days ago
C
Database developer Smartstream TLM SME Senior Engineer
Citi
Mississauga, ON
- Full-time
Apply subject matter expertise in reconciliations and contribute to the design, development, and implementation of technology solutions.
Added 3 days ago
V
Sr. Software Engineer - DevEx
VGS
Canada
- Full-time
That's where VGS comes in. We're the world's leader in payment tokenization, trusted by the most innovative AI and Fortune 500 companies, merchants, banks, and fintechs to power modern…

Eclipse Automation

AI 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: Nov 3, 2026

Original job description

Job Title: AI 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 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.
- Experimenting with local LLMs and open-source models (Llama, Mistral, Qwen, Phi) via Ollama / llama.cpp / vLLM, covering quantization, hardware sizing, and open-vs-commercial tradeoffs (cost, latency, privacy, quality).
- Llama, Mistral, Qwen, Phi, and NVIDIA Nemotron families, with runtimes including NVIDIA NIM
- 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.
- demonstrated experience with - or at minimum serious hands-on experimentation with - local LLMs and open-source models.
- 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.
- NVIDIA AI stack - NIM microservices, TensorRT-LLM, Triton Inference Server, and CUDA ecosystem - for high-performance local and cloud inferenc
- Configuring and tuning GPUs on on-prem and dedicated offsite infrastructure - driver/CUDA stack management, VRAM sizing, multi-GPU setups, power/thermal tuning, and benchmarking real-world inference throughput.
- Developing and deploying agents and agent harnesses in the cloud - Azure (AI Foundry, AKS, Functions, managed inference), AWS (Bedrock, Lambda, ECS), or comparable GCP services, including serverless and containerized patterns.
- Familiarity with the NVIDIA AI stack - NIM microservices, TensorRT-LLM, Triton Inference Server, and CUDA ecosystem - for high-performance local and cloud inference.
- Agent orchestration frameworks, evaluation platforms, vector databases, PostgreSQL/pgvector, hybrid retrieval, knowledge graphs, or enterprise search.
- Llama/Mistral/Qwen/Phi, Hugging Face tooling, quantization formats (GGUF, AWQ, GPTQ) and quality/speed tradeoffs.
- 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 Engineer will build and deploy AI agents, retrieval systems, and production-ready AI services to support digital transformation in manufacturing. They will also develop full-stack web applications and integrate enterprise data systems to connect AI capabilities with engineering workflows.

Requirements

Candidates must have at least five years of experience in enterprise application development and hands-on experience with local LLMs and AI/LLM solutions. Proficiency in Python, React, TypeScript, and SQL is required, along with a degree in computer science, software engineering, or a related field.

Skills

AI systems
LLMs
Python
React
TypeScript
SQL
Retrieval-augmented generation
Agent workflows
API development
CI/CD
Containerization
Azure DevOps
Machine learning
Data pipelines
Software engineering
Enterprise integration

Benefits

RRSP matching program
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 Engineer
LLM
Python
React
TypeScript
SQL
MySQL
PostgreSQL
Azure
CI/CD
Git
REST
GraphQL
SOAP
Kubernetes
OpenShift
NVIDIA NIM
CUDA
Automation
Manufacturing
Digital transformation
Agentic workflows
Vector search
Embeddings
RAG
Enterprise systems
Software development
Data pipelines
Production-ready
System architecture

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