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Added 20 hours ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality…
Added 22 hours ago
AI Automation & Software Engineer
WBM Technologies
Winnipeg, MB · Regina, SK · Saskatoon, SK · Edmonton, AB · Calgary, AB
Full-time
Experience working with AI models, LLMs, prompt engineering, and agent-based workflows.
Added 1 day ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
Added 1 day ago
Senior Full Stack Developer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
Professional experience with LLMs, RAG, vector search, and agent orchestration frameworks
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 1 day ago
AI Mobile Engineer- IOS
Zafin
Toronto, ON
Full-time
The AI Mobile Engineer- IOS is a senior technical implementation role responsible for leading the design and delivery of production-grade agent solutions. Your primary goal is to translate…
Added 1 day ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Hands-on experience using and deploying AI agents, such as: Claude Code, Codex, ClawdBot, OpenCode, or similar agent frameworks/tools
Added 1 day ago
Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the…
Added 1 day ago
Quality Engineer / Agent
Latecoere Aerostructures Canada
Delta, BC
$60,000 to $65,000 CAD / year
Full-time
The Quality Engineer is responsible for ensuring that products and manufacturing processes comply with Latecoere’s Quality Management System, customer requirements, applicable engineering…
Added 1 day ago
Senior Full Stack Developer (Global Security)
RBC
Toronto, ON
Full-time
Professional experience with LLMs, RAG, vector search, and agent orchestration frameworks
Added 1 day ago
Quality Engineer / Agent
LATECOERE
Delta, BC
The Quality Engineer is responsible for ensuring that products and manufacturing processes comply with Latecoere’s Quality Management System, customer requirements, applicable engineering…
Added 1 day ago
Generative AI Cloud Operations Engineer - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
…research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately…
Added 1 day ago
AI Mobile Engineer- IOS
Zafin
Toronto, ON
The AI Mobile Engineer- IOS is a senior technical implementation role responsible for leading the design and delivery of production-grade agent solutions. Your primary goal is to translate…
Added 1 day ago
Founding DevOps/SRE Engineer
Requesty
London, ON
Full-time
…best AI products, and power the next AI coding assistants, agent orchestration systems or any other AI-based…
Added 2 days ago
AI Engineer
Zafin
Toronto, ON
Full-time
Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty,…
Added 2 days ago
Artificial Intelligence Engineer
Zown
Toronto, ON
Full-time
We are looking for an AI Software Engineer to design, build, and scale intelligent software systems that power our products. This role sits at the intersection of artificial intelligence…
Added 2 days ago
AI Engineer
Zafin
Toronto, ON
Our portfolio includes Zafin AIOS, an agent orchestration platform for governed AI work; the Zafin Banking Platform, which helps banks modernize product, pricing, offers, billing, loyalty,…
Added 1 month ago
Backend Software Engineer (Rust)
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
Full-time
What it means to govern an AI agent's identity: provisioning, scoping, revoking. Topic explainer.
Added 2 days ago
Full-Stack Engineer, AI Platform
Javelin Venture Partners
ON · Ontario, Canada
Full-time
…and why. Without that, automation stays stuck in pilots. This engineer owns the product surface that turns agent capability into something teams will actually rely on for business-critical…
Added 2 days ago
Senior L3 AI Engineer
Tata Consultancy Services
Montreal, QC
Full-time
We are seeking a Senior Level 3 AI Engineer to act as the first point of call for engineering issues across the firm’s end user AI products - Microsoft Copilot, OpenAI ChatGPT, Anthropic…
Added 2 days ago
Security Researcher Engineer
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Experience with AI red teaming, autonomous penetration testing, agent security, or AI-native security tooling.
Added 8 days ago
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
Full-time
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.
Added 14 days ago
Design Engineer - Co-op Student
Loblaw Companies Limited
Toronto, ON
Full-time
Curiosity about AI-assisted design and development tools. Hands-on experience with a coding agent is a bonus.
Added 8 days ago
Lead Platform Engineer
RBC
Toronto, ON
Full-time
Are you interested in working as a Lead Platform Engineer on the Global Payments Platform and DevOps team in Technology & Operations at the Royal Bank of Canada?

BMO

Full Stack Engineer (AI-Enabled)

Calgary, AB, Canada
GCS, Canada

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Apply by: Oct 2, 2026
Experience: 5–10 years of experience in backend or full stack development
Posting language: English
Posted: Sep 14, 2026

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Original job description

Application Deadline:

10/01/2026

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 build scalable, end-to-end enterprise applications while integrating AI-enabled capabilities into banking platforms. Collaborate with cross-functional teams to implement robust microservices, APIs, and RAG pipelines to deliver genuine business value.

Requirements

Requires 5-10 years of backend or full-stack development experience with proficiency in Java, Node.js, or Python and a frontend framework like React or Angular. Candidates must demonstrate hands-on experience with LLMs, RAG concepts, and the ability to build production-grade, secure systems in a regulated environment.

Skills

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

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Full Stack Engineer
AI-Enabled
Banking
Java
Spring Boot
Node.js
Python
React
Angular
LangChain
AWS Bedrock
Azure OpenAI
OpenAI
Anthropic
Vector databases
pgvector
OpenSearch
Pinecone
Microservices
API-first design
Cloud adoption
Event-driven architecture
CI/CD
Observability
RAG
Prompt engineering
LLM
Kubernetes
Kafka
SQL

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