Jobs in Canada

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Added 27 mins ago
Cashier Part Time Evening
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Dartmouth, NS
Part-time
…your career, re-entering the workforce, or looking for a new job, this is where you belong. We have opportunities for hard working, enthusiastic and reliable people just like…
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Personal Shopper Part Time Day Greenlight Requisition
Jobbe
NS · Nova Scotia, Canada
Part-time
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Cashier Part Time Day
Jobbe
NS · Nova Scotia, Canada
Part-time
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Customer Experience Associate - Summerside
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PE · Prince, PE
Part-time
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H&M Sales Advisor
Jobbe
Halifax, NS
Part-time
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Cashier Part Time Day
Jobbe
Halifax, NS
Part-time
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HMR Clerk Part Time Night
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NS · Nova Scotia, Canada
Part-time
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Added 27 mins ago
Meat Cutter Part Time Day
Jobbe
NS · Nova Scotia, Canada
Part-time
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Added 27 mins ago
Grocery Clerk Full Time Day
Jobbe
NS · Nova Scotia, Canada
Full-time
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Added 27 mins ago
Front Counter Sales Representative
Jobbe
NS · Nova Scotia, Canada
Temporary
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Added 27 mins ago
Fitness Personal Trainer Job Details | Richmond Hill
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Events and Community Fundraising Coordinator
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…timelines, deliverables, volunteers, vendors, participants and event details are effectively coordinated. This role will work closely with the Manager to support the successful delivery of…
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Senior Coordinator, Alumni Relations and Community Partnerships
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Added 28 mins ago
School of Communications Sciences and Disorders Course Lecturers & Instructors (Winter 2027)
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Montreal, QC
Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.
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Course Lecturers - McGill Writing Centre - Winter 2027
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.
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Course Lecturers - Department of Linguistics - Winter 2027
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.
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Course Lecturers - Department of East Asian Studies - Winter 2027
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.
Added 43 mins ago
Registered Nurse : Port Stanley Casual Position
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…and long-term career growth. Your recruiter can provide more details about our total rewards offerings during the hiring…
Added 43 mins ago
Electrical Engineering Graduate - Transportation
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$70,000 to $80,000 CAD / year
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Preparation of wiring diagrams and electrical details
Added 58 mins ago
Crew Member
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…you’d like to be a part of, we’d love to meet you! See more details below and apply…
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Material Handler / Driver - Vanfax
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WSP in Canada

AI Developer (LLM & Agentic Systems)

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Job Description

What if you could redefine what's possible?

With us, you can. You want Purpose. Growth. Opportunity. People who get it.

We are the home of ambitious, passionate, and innovative world shapers.

With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.

We are pathfinders and impact makers.

We are Visioneers.

We are WSP.

The Opportunity

Build the future with us.

As an AI Developer (LLM & Agentic Systems), you will design and develop AI-enabled applications and intelligent systems used in client-facing projects, supporting decision-making across mining, resources, infrastructure, and environmental domains. You will build next-generation AI applications that combine Large Language Models (LLMs), structured data, and domain knowledge to enable advanced reasoning and support complex engineering and operational decisions. This role can be based anywhere in Canada and plays a key part in advancing our AI‑enabled platforms, internal tooling, and next‑generation data solutions.

#GlobalMining #ERI_Opportunities #carrières_ERI

Your Impact

Design, build, and maintain scalable full‑stack applications that integrate advanced AI and data capabilities.
Develop backend APIs and cloud‑native components that support scalable data and analytics workflows.
Integrate LLMs, agentic workflows, and NLP techniques (e.g., entity recognition and entity resolution) into production-ready systems.
Contribute to the design and evolution of knowledge‑based and data‑driven platforms.
Develop and integrate data pipelines and knowledge-driven components (e.g., structured data, semantic layers, or knowledge graphs) into applications.
Collaborate closely with analytics, data science, knowledge engineering, and digital product teams.
Work directly with internal teams and clients to translate requirements into scalable, production-ready solutions.
Implement secure, maintainable, and testable code aligned with industry best practices.
Support CI/CD, Git workflows, and DevOps automation.

The Skills That Set You Apart

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
5+ years of professional software development experience, including 2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production environments.
Demonstrated experience designing end-to-end AI architectures, including data ingestion, retrieval, reasoning layers, and user-facing applications.
Strong experience with LLM workflows, including prompt engineering, evaluation strategies, agent orchestration, and tool integration.
Hands-on experience with embeddings, vector search, and RAG pipelines, including performance optimization and retrieval quality improvements.
Proven ability to design and build scalable backend systems and APIs (Python – FastAPI preferred, or Node.js), including microservices architectures.
Experience integrating structured and unstructured data into scalable AI applications.
Experience applying NLP techniques (e.g., entity extraction, entity resolution) in real-world applications.
Strong experience with cloud-native development (Azure preferred), including deployment, monitoring, and cost/performance optimization.
Experience with DevOps practices, including CI/CD pipelines, Git workflows, and multi-environment deployments (dev, UAT, production).
Nice to have: Experience with knowledge graphs and graph query languages (e.g., SPARQL, Cypher), microservices, Docker/Kubernetes, ETL pipelines, or engineering‑heavy data environments.

Why Choose WSP?

We exist to shape communities to advance humanity. The brightest engineers, advisors and scientists from across the globe call WSP home.

Proudly Canadian – we are a Top 100 Employer in Canada for 2026.
A global community of brilliant minds – your next idea, mentor, or opportunity is always within reach.
Limitless opportunities start here. Whether it’s across the country or around the globe, we help you tailor your role to match your ambition - because your growth drives ours.
Flexible work, real balance – we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours.

#WeAreWSP

Compensation

AB, BC, NT, NU, SK & YT: $104,100 – $138,000

MB & ON: $95,5000 – $130,800

NB, NL, NS, PEI & QC: $94,100 – $124,900

Disclosure:

The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes.

Make Your Mark with WSP

If you’re ready to shape the future of AI‑enabled platforms and build digital tools that make a real impact, we’d love to hear from you. Apply today and help redefine what’s possible.

About Us

At WSP, we exist to shape communities to advance humanity.

It’s why we bring people together who are wired to solve complex challenges - engineers, scientists, advisors, and technical experts who are driven by a common passion - to redefine what’s possible and shape what comes next. We are Visioneers.

As one of the world’s leading professional services firms, we partner with clients across transportation, infrastructure, environment, buildings, energy, water, mining and metals. We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting, positive impact.

At WSP, you’ll join a community of brilliant minds that push boundaries every day - applying deep expertise and fuelling innovation to help create a more connected and resilient future. Here, your ideas are valued, your growth is supported, and you are encouraged to bring your authentic self to work. We empower our people to collaborate across disciplines, challenge the status quo, and shape a career with purpose.

Join us.

Please Note:

Health and Safety is a core paramount value of WSP. Given the importance of keeping one another safe it is expected that you comply with our Health, Safety & Environment (HSE) policy at all times as well as client HSE policies when working at client locations. Full details here .

Some safety-sensitive positions involve fieldwork and may include work in a variety of environmental conditions, such as remote or isolated areas, working alone, and in inclement weather (within safe and reasonable limits).

WSP welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

WSP is committed to the principles of employment equity. Only the candidates selected will be contacted.

WSP does not accept unsolicited resumes from agencies. Full details here .

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More about this job

Responsibilities

Design, build, and maintain scalable AI-enabled applications, backend APIs, cloud-native components, and data pipelines for client-facing projects in mining, resources, infrastructure, and environmental domains. Integrate LLMs, agentic workflows, NLP, structured and unstructured data, and knowledge-based components into secure, production-ready systems while collaborating with technical teams and clients.

Requirements

Requires a bachelor's or master's degree in computer science, software engineering, or a related discipline, plus at least five years of professional software development experience, including two or more years leading production LLM or agentic AI systems. Candidates should have experience with end-to-end AI architecture, LLM workflows, RAG and vector search, scalable APIs, NLP, cloud-native development - Azure preferred - and DevOps practices.

Skills

Large Language Models
Agentic AI Systems
Full-Stack Development
Python
FastAPI
Node.js
Backend APIs
Prompt Engineering
Agent Orchestration
Retrieval-Augmented Generation
Vector Search
Embeddings
Natural Language Processing
Azure
CI/CD
Knowledge Graphs

Benefits

Flexible Work
Work-Life Balance

Visa sponsorship

Not detected in the job text

Keywords

Large Language Models
Agentic AI
Artificial Intelligence
Full-Stack Applications
Python
FastAPI
Node.js
Backend APIs
Microservices
Prompt Engineering
Agent Orchestration
Retrieval-Augmented Generation
Embeddings
Vector Search
Natural Language Processing
Entity Extraction
Entity Resolution
Azure
Cloud-Native Development
Data Pipelines
Knowledge Graphs
Semantic Layers
CI/CD
Git
DevOps
Docker
Kubernetes
ETL
Mining
Infrastructure

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