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Added 1 month ago
C
Développeur expert IA
CGI
Montreal, QC
- Full-time
Développer des pipelines avancés de Prompt Engineering et des chaînes d’agents avec orchestration multi-agents.
Added 1 month ago
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Senior QA Developer (Agent Security)
Fortinet
Burnaby, BC
- Full-time
We are hiring a Senior / Staff QA Engineer for Fortinet's AI security product line, FortiAIGate, to own end-to-end testing of the product across both SaaS and on-premises deployments.…
Added 1 month ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital…
Added 1 month ago
SL
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 1 month ago
SL
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 1 month ago
FN
AI Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
We are hiring an AI Engineer, Application Development!
Added 1 month ago
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Senior QA Engineer (Agent Security)
Fortinet
Burnaby, BC
- Full-time
We are hiring a Senior / Staff QA Engineer for Fortinet's AI security product line, FortiAIGate, to own end-to-end testing of the product across both SaaS and on-premises deployments.…
Added 1 month ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
Added 1 month ago
Principal AI Engineer - Context - Agents and Context
Elastic
Canada
As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and…
Added 1 month ago
Supplier Quality Engineer Supervisor
LATECOERE
Delta, BC
Added 1 month ago
AC
Développeur Java Senior
Amaris Consulting
Montreal, QC
- Full-time
…Agile squad. This is an excellent opportunity for a hands-on engineer who enjoys solving complex technical problems involving high-volume data processing, distributed computing, and…
Added 1 month ago
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Marketing Engineer & Director of AEO
Equiniti
Toronto, ON
- Full-time
We are looking for a Marketing Engineer & Director of AEO to own how our brand is discovered, understood, cited, and recommended across search engines, answer engines, AI assistants, and…
Added 1 month ago
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Senior/Lead Engineer - Agentic AI Development
FICO
Canada
- Full-time
…the harness (Agent = Model + Harness). As a Senior Harness Engineer you'll independently own whole harness subsystems, set the standards other engineers build to, and be involved in the…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Exposure to AI/ML concepts, generative AI tools, agentic AI, prompt engineering, RAG/knowledge-search patterns, or automation tooling.
Added 1 month ago
Senior Business Systems Engineer - Integrations & AI
Lyft
Toronto, ON
Lyft is building the next generation of intelligent agents powered by AI. We're seeking a Senior AI Agentic Engineer to lead this transformation across the enterprise. This is a strategic…
Added 1 month ago
RE
Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Exposure to AI/ML concepts, generative AI tools, agentic AI, prompt engineering, RAG/knowledge-search patterns, or automation tooling.
Added 1 month ago
CF
Senior AI Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced and technically strong Senior AI Engineer to join our Data, AI & Analytics (DNA) team. This role focuses on the applied use of Generative AI and…
Added 1 month ago
WT
AI Automation & Software Engineer
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
- Full-time
The AI Automation & Software Engineer designs, builds, and supports AI, automation, and software solutions for both customer environments and WBM's internal operations. You'll work across…
Added 1 month ago
ZS
IT ENGINEER
Z-Tech Solution Co., Ltd
Engineer, BC
- Full-time
Added 1 month ago
TT
Solution Architect, Google Workspace & Gemini AI
Tundra Technical Solutions
Toronto, ON
- $130,000 to $145,000 CAD / year
- Full-time
Act as the principal designer and engineer for the Google Workspace tenant, ensuring organizational units (OUs), groups, and access controls are optimally structured for scale and security.
Added 1 month ago
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Senior Electrical Engineer
AtkinsRéalis
Mississauga, ON
- Full-time
Provide prompt response and engineering resolutions on any critical engineering related matters.
Added 1 month ago
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Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 1 month ago
O
Senior Software Engineer, Fullstack
Outschool
Canada
- Full-time
We're looking for a Senior Software Engineer, Fullstack to join our Product Engineering team in South Korea. The team’s mission is to build high-quality product experiences that help…
Added 1 month ago
H
Applied AI Engineer
Hygiena
Mississauga, ON
- Full-time
Engineer for production across the full SDLC (build → test → deploy → monitor → iterate). Implement MLOps/GenAIOps practices (CI/CD, reproducibility, environment parity, model/prompt/agent…
Added 1 month ago
AC
Senior Java Software Engineer
Amaris Consulting
Montreal, QC
- Full-time
…Agile squad. This is an excellent opportunity for a hands-on engineer who enjoys solving complex technical problems involving high-volume data processing, distributed computing, and…

BMO

Full Stack Engineer (AI-Enabled)

Calgary, AB, Canada
GCS, Canada

$70,000.00 - $150,000.00 · Full-time

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Job details

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Apply by: Oct 31, 2026
Experience: 5–10 years of experience in backend or full stack development
Posting language: English
Posted: Oct 5, 2026

Original job description

Application Deadline:

10/30/2026

Address:

401 9th Avenue SW, Suite 1930

Job Family Group:

Technology

Role Overview

We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.

This role is not limited to a specific tech stack. We are looking for someone who:

Understands banking and business workflows
Takes end-to-end ownership of delivery
Is a strong problem solver
Has hands-on experience building with large language models and can apply them responsibly in a regulated environment

You will work across frontend, backend, and integration layers to build reliable systems, while delivering AI-enabled capabilities where they create genuine business value. Candidates are not expected to have a research background in machine learning. We are looking for engineers who have implemented LLM-based functionality, understand its practical limitations, and can build around them. There will be opportunity to develop deeper expertise in areas such as agentic systems, orchestration, and model evaluation, supported by structured learning and meaningful project work.

What You'll Work On

Build and enhance core banking and client onboarding platforms
Design APIs and backend services that support complex, multi-step workflows
Develop user-facing applications with a strong focus on usability and performance
Work on data-driven systems, integrations, and orchestration layers
Deliver AI-assisted capabilities including document processing, intelligent onboarding workflows, search and summarization, and decision support
Implement retrieval-augmented generation (RAG) capabilities that make internal policy, product, and client information accessible and actionable
Contribute to modernization initiatives including API-first design, cloud adoption, and event-driven architecture

Key Responsibilities

Design, build, and support end-to-end applications across frontend, backend, and integration layers
Translate business requirements into scalable technical solutions
Take ownership of features from design through production and support
Collaborate with product, architecture, and business teams to solve complex domain problems
Build robust microservices and APIs using Java, Node.js, or Python
Develop intuitive frontend applications using React or Angular
Ensure systems are secure, resilient, and compliant, which is critical in banking
Identify opportunities to leverage AI development tools to improve delivery efficiency
Contribute to continuous improvement of engineering practices covering quality, CI/CD, and observability
Develop features using LLM APIs, including prompt design, structured output handling, tool calling, and management of errors and edge cases
Implement and optimize RAG pipelines covering chunking strategy, embeddings, vector search, and grounding of responses in source documents
Establish validation and evaluation practices to assess AI output quality and identify regressions before release
Apply appropriate safety and security controls including input validation, PII handling, prompt injection mitigation, and human-in-the-loop review for material decisions
Manage cost and latency considerations associated with model usage

Core Technical Stack

Backend: Java (Spring Boot), Node.js, Python
Frontend: Angular or React
AI / LLM: LangChain, AWS Bedrock, Azure OpenAI, Copilot Studio, OpenAI and Anthropic APIs
Retrieval: Vector databases including pgvector, OpenSearch or Pinecone, or Chroma
Architecture: Microservices, APIs, event-driven systems
Data: SQL/NoSQL, Oracle
Infrastructure: AWS/Azure, Docker, Kubernetes, Kafka
Tools: CI/CD pipelines, observability platforms
Candidates are not expected to have experience across the full stack listed. Demonstrated strength in several areas and the ability to learn others is sufficient.

Must-Have Skills

5–10 years of experience in backend or full stack development
Proficiency in at least one backend language (Java, Node.js, or Python) and one frontend framework (React or Angular)
Strong understanding of system design, API development, and building for scale
Experience delivering production-grade applications end-to-end
Strong problem-solving and analytical skills
Demonstrated ownership and accountability for delivery
Ability to work across tech stacks and adapt quickly
Strong communication and collaboration skills, including the ability to engage non-technical stakeholders
Hands-on experience building applications with large language models, with the ability to discuss design decisions, challenges encountered, and lessons learned
Practical understanding of prompt engineering and methods for evaluating output quality
Familiarity with RAG concepts including embeddings, vector search, and the relationship between retrieval quality and output quality
Exposure to agentic AI, including agents capable of planning and tool use, multi-agent workflows, and human-in-the-loop approval patterns
Experience with LangChain or LangGraph, AWS Bedrock, or Copilot Studio
Experience using AI development tools such as Copilot and code assistants within a team setting
Production experience supporting an LLM-based feature serving end users

Nice to Have

Experience in banking or financial services, particularly onboarding, payments, lending, trade, or KYC/AML. Candidates from other regulated or complex domains will also be considered
Awareness of AI security considerations including prompt injection, data leakage, and output validation, with reference to the OWASP LLM Top 10
Experience with model evaluation frameworks or LLM observability tooling
Familiarity with search, data retrieval, or analytics platforms
Experience with cloud-native or modernization programs
Understanding of event-driven or streaming architectures

Mindset We're Looking For

Thinks beyond code, focusing on business outcomes and user value
Owns problems end-to-end, not just assigned tasks
Comfortable working in ambiguous problem spaces
Willing to challenge existing approaches and think creatively
Applies considered judgement to AI, distinguishing between promising capability and production readiness
Risk-aware, recognizing that probabilistic outputs require appropriate controls in a banking context
Continuously learning, including how AI can enhance both products and engineering productivity
Pragmatic, balancing innovation with real-world delivery, cost, and compliance constraints

Salary:

$70,000.00 - $150,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

Design and deliver scalable, enterprise-grade applications across frontend, backend, and integration layers while incorporating AI capabilities. Collaborate with cross-functional teams to build robust microservices and APIs that support complex banking workflows.

Requirements

Requires 5-10 years of experience in backend or full stack development with proficiency in Java, Node.js, or Python and a frontend framework. Candidates must have hands-on experience building applications with large language models and a strong understanding of system design and API development.

Skills

Java
Node.js
Python
React
Angular
Large language models
RAG
LangChain
AWS Bedrock
Azure OpenAI
System design
API development
Microservices
Vector databases
Prompt engineering
Cloud computing

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans

Visa sponsorship

Not detected in the job text

Keywords

Full Stack Engineer
AI-Enabled
Banking
Spring Boot
LangChain
AWS
Azure
OpenAI
Anthropic
Vector databases
pgvector
OpenSearch
Pinecone
Chroma
Microservices
Event-driven architecture
SQL
NoSQL
Oracle
Docker
Kubernetes
Kafka
CI/CD
Observability
Prompt design
Retrieval-augmented generation
Agentic systems
KYC
AML
API-first design

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