Find work in Canada.

324,498 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 4 months ago
Senior Systems Engineer
CanCap Management Inc.
Mississauga, ON
$110,000 to $150,000 CAD / year
Full-time
CanCap Group delivers fully managed programs for third-party financial institutions. We are hiring a Senior Systems Engineer to design, automate, and operate the core infrastructure our…
Added 1 month ago
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group, Inc.
Toronto, ON
Full-time
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology) Fitch Ratings is seeking an experienced Full-Stack Software Engineer (Associate Director) to join our…
Added 27 days ago
Senior Quality Engineer
Ecolab Inc.
Calgary, AB
Full-time
The Senior Quality Engineer is a recognized subject‑matter expert and quality leader responsible for ensuring products consistently meet or exceed established quality, reliability, and…
Added 5 months ago
Data Engineer
GEI Consultants, Inc.
Guelph, ON
Full-time
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.
Added 4 months ago
Senior Data Developer
Shannex Incorporated
Halifax, NS
Full-time
Microsoft Certified: Azure Data Engineer Associate
Added 1 month ago
GenAI Architect
Lantern
Calgary, AB · Edmonton, AB · Vancouver, BC · Toronto, ON
Microsoft certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert).
Added 28 days ago
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI…
Added 1 month ago
Senior Network Security Architect
Applied Materials
Toronto, ON
Full-time
Added 28 days ago
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 1 month ago
Senior Associate SIEM Implementation
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
Full-time
Preferred certifications: Microsoft Certified: Security Operations Analyst Associate, SC-200, AZ-500, Google Professional Cloud Security Engineer, CISSP, CISM, GIAC.
Added 1 month ago
Cybersecurity - Cloud Security - Senior Consultant
EY
Edmonton, AB · Vancouver, BC · Toronto, ON · Montreal, QC · AB · Calgary, AB
In possession of or working toward industry recognized cloud security certifications such as CCSK, CCSP, Azure Security Engineer, Azure Solution Architect Expert, AWS Solution Architect…
Added 19 days ago
Lead AI Engineer
RBC
Toronto, ON
Full-time
We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI…
Added 19 days ago
Senior AI Engineer
RBC
Toronto, ON
Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Added 1 month ago
Product Support Engineer
Proofpoint
Toronto, ON
Full-time
Proofpoint is seeking a Product Support Engineer for our Enterprise Email Archiving Software. The successful candidate should have strong problem determination, isolation, and root cause…
Added 1 month ago
Senior Network Security Architect
Applied Materials
Toronto, ON
Full-time
Added 2 months ago
Senior Consultant, Azure Data Engineer
KPMG
ON · Toronto, Ontario
Full-time
Certification in Azure Data Engineer Associate or Azure AI Engineer Associate is an asset but not required
Added 2 months ago
Manager, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer…
Added 2 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer…
Added 1 month ago
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 5 months ago
Manager, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC · ON · Toronto, Ontario
Full-time
Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer…
Added 5 months ago
Senior Consultant, Databricks Data Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Certifications: Databricks Certified Data Engineer (Associate or Professional) and/or relevant cloud certifications (e.g., Azure, AWS, or GCP architecture or data engineering credentials)…
Added 5 months ago
Senior Consultant, ML/AI Engineer, Data & AI
KPMG
Vancouver, BC
Full-time
Cloud AI / ML certifications (e.g., Azure AI Engineer Associate or better, AWS Machine Learning Specialty or better, Google Professional ML Engineer or better, Databricks ML Engineer…
Added 5 months ago
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG
Calgary, AB · Vancouver, BC · ON · Toronto, Ontario
Full-time
Microsoft Certified: Fabric Analytics Engineer Associate
Added 1 month ago
Director Data Engineering
McKesson
Mississauga, ON
Full-time
Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
Added 1 month ago
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)
Fitch Group
Toronto, ON
Software Engineer, Full-Stack Applications Associate Director (Ratings Technology)

Associate LLM Engineer (Forward Deployment)

Bay Adelaide Centre, East Tower 22 Adelaide Street West, Suite 2720, Toronto, ON, M5H 4E3, Canada

Job type: Full-time
Apply by: Aug 18, 2027
Experience: 1-5 years of experience in software development, with relevant work experience in LLM app development.
Posting language: English
Posted: Aug 18, 2026

Apply About employer

Applications open in a new tab.

Original job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.

LLM Engineer - Forward Deployment

We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design, and ensuring the performance and reliability of our systems.

What You’ll Do:

Take ownership of architecture design and development of scalable and distributed software systems
Translate business to technical requirements
Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
Data driven decision making skills with focus on achieving product goals
Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g. LORA, QLORA, etc.)
Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
Utilize Databricks capabilities, esp. Unity Catalog and be able to architect the governance layer from data all-the-way to the AI model output
Design, develop and deploy prompt and response guardrails to enable responsible AI requirements
Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.
Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

What You'll Bring:

Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
1-5 years of experience in software development, with relevant work experience in LLM app development.
Strong coding skills with proficiency in Python and Javascript
Experience with API frameworks both stateless and stateful such as Fast API, Django
Proficient in cloud platforms, specifically AWS, Databricks and Azure
Proficient in Infra-as-Code, esp. focused on developing Terraform scripts and Cloudformation
Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).
Hands-on experience with Databricks solutions including Unity Catalog.
Experience in production deployments involving thousands of users, esp with capabilities like Redis, Vector Search, etc.
Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Experience of SDLC and best practices while development
Experience with Agile methodology for continuous product development and delivery
Fluency in English
Client-first mentality
Intense work ethic
Collaborative spirit and problem-solving approach

Hybrid working model:

ZS is committed to a Flexible and Connected way of working. ZSers are on-site at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

How you’ll grow:

Cross-functional skills development & custom learning pathways
Milestone training programs aligned to career progression opportunities
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:

At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in Canada, visit ZS Canada office locations | Where we work | ZS.

Hybrid working model:

We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.

Travel:

Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

Considering applying?

At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems - the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.

If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.

ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.

To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.

NO AGENCY CALLS, PLEASE.

Find Out More At:
www.zs.com

Apply About employer

More about this job

Responsibilities

Design and develop scalable LLM-based pipelines and distributed software systems while ensuring code quality and performance. Collaborate with cross-functional teams to translate business requirements into technical solutions and manage the complete software development lifecycle.

Requirements

Requires a bachelor's degree in computer science or a related field and 1-5 years of software development experience with a focus on LLM applications. Proficiency in Python, cloud platforms like AWS/Azure/Databricks, and DevOps practices is essential.

Skills

Python
LLM solution development
RAG
Vector DB
Agentic workflows
AWS
Databricks
Azure
DevOps
Terraform
Docker
Kubernetes
React JS
Next JS
Prompt engineering
Langchain

Benefits

Health and well-being programs
Financial future planning
Professional development
Skills-building programs
Internal mobility paths

Visa sponsorship

Not detected in the job text

Keywords

LLM
Python
RAG
Vector DB
Agentic workflows
AWS
Databricks
Azure
DevOps
Docker
Kubernetes
Terraform
React JS
Next JS
Langchain
Prompt engineering
Software development
Agile
Scrum
Unity Catalog
API frameworks
Fast API
Django
Cloud computing
Infrastructure as Code
Machine learning
Data engineering
System architecture
Responsible AI
Software lifecycle

Report this job