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Added 1 hour ago
LLM Engineer
ZS
Toronto, ON
Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
Added 2 hours ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
Added 2 hours ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Added 3 hours ago
S
Asset Protection Partner
sephora.com
Halifax, NS
- $25 to $30 CAD / hour
- Full-time
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 3 hours ago
R
Senior Manager, HR Digital Solutions Design
RBC
Toronto, ON
- Full-time
Lead and support complex, cross-module, or cross-system initiatives (e.g., new module rollouts, M&A integrations, AI/agent data access patterns).
Added 3 hours ago
P
Full Stack Developer
PwC
Toronto, ON · Ottawa, ON · Calgary, AB
- Full-time
As a Full Stack Developer, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t limited to:
Added 3 hours ago
B
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
Exposure to agentic AI, including agents capable of planning and tool use, multi-agent workflows, and human-in-the-loop approval patterns
Added 3 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
Exposure to agentic AI, including agents capable of planning and tool use, multi-agent workflows, and human-in-the-loop approval patterns
Added 4 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
What this role is and is not: This is a hands-on full-stack developer role with some upfront solution design and architecture responsibilities. Most of your time will be spent building,…
Added 4 hours ago
S
Asset Protection Partner
sephora.com
Victoria, BC
- $25 to $30 CAD / hour
- Full-time
Testify in court on behalf of the company, in any case, criminal or civil, to which the Agent is summoned.
Added 4 hours ago
MP
Real Estate Agent – No Experience Needed (Dubai)
McCone Properties
Winnipeg, MB
- Full-time
The average agent here earned US$112,000 last year, tax free; US$2.9 million is our best year, not the usual one. There is no salary, so arrive with around six months of savings while you…
Added 5 hours ago
TC
Loss Prevention Store Security Agent
TJX Companies
Halifax, NS
- Full-time
We're seeking a Loss Prevention Store Security Agent to help create a safe, secure, and welcoming environment in our stores. In this impactful role, you’ll be instrumental in theft…
Added 5 hours ago
M
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
…and database solutions that enable production-scale AI and agent scenarios. You’ll lead technical engagements across architecture design, proof of concepts, and production deployments,…
Added 5 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 5 hours ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
Added 5 hours ago
B
Senior Agentforce Architect
bubblestack
Vancouver, BC
- Full-time
…leading the design and implementation of Agentforce and AI agent solutions on the Salesforce platform. This role includes defining scalable architectures, guiding end-to-end solution…
Added 5 hours ago
O
AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
Claude Code, MCP or agent frameworks such as Pydantic AI or LangGraph.
Added 6 hours ago
PC
Manager, Threat Hunting & Incident Response
PwC Canada
Toronto, ON · North York, ON
- Full-time
Added 7 hours ago
CL
FULLSTACK AI DEVELOPER
Collège LaSalle, Montréal
Portage-du-Fort, QC
- Full-time
As a Fullstack AI Developer, and under the supervision of the Director - IT Delivery you design, develop, and deliver software solutions by leveraging advanced agent coding workflows. You…
Added 7 hours ago
SR
Software Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Implement agent planning, tool use, execution tracking, verification, and recovery capabilities using modern language, vision, and multimodal models.
Added 7 hours ago
BC
Business Systems Analyst - Contact Center
BrainRidge Consulting
Toronto, ON
- Full-time
…delivery teams. You’ll turn complex requirements for routing, IVR, agent desktops and omnichannel journeys into detailed functional and technical specifications. This role suits someone who…
Added 7 hours ago
FI
QA Analyst
Fellow Insights Inc.
Remote, Canada
- Full-time
- Remote
Familiarity with browser developer tools, including the element inspector, console, and network inspector.
Added 7 hours ago
RB
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada
Montreal, QC
- Full-time
…science function responsible for how RBC measures model and agent quality, safety, risk, and performance. You will design, build, and continuously improve evaluation datasets, sourcing…
Added 7 hours ago
S
Senior AI Developer
Seequent
Vancouver, BC
- Full-time
Added 8 hours ago
WT
Agent, Client Experience - REMOTE (Weekends - 40hr/week)
Wealthsimple Technologies
Remote, Canada
- $25 to $26.5 CAD / hour
- Full-time
- Remote
The Voice of Wealthsimple: You aren’t just a support agent; you are an advocate for our clients’ financial freedom. You will break down complex investment, trading, and personal finance…

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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