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About the Role

We are looking for a Full Stack Engineer to design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms. This role requires understanding banking workflows, taking end-to-end ownership, and applying AI responsibly in a regulated environment.

Responsibilities

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
Contribute to modernization initiatives including API-first design, cloud adoption, and event-driven architecture
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
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

Requirements

7-10+ 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
Experience in banking or financial services, particularly onboarding, payments, lending, trade, or KYC/AML.
Production experience supporting an LLM-based feature serving end users
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
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
Experience using AI development tools such as Copilot and code assistants within a team setting

Skills

Java
Spring Boot
Node.js
Python
Angular
React
LangChain
AWS Bedrock
Azure OpenAI
Copilot Studio
OpenAI APIs
Anthropic APIs
pgvector
OpenSearch
Pinecone
Chroma
Microservices
APIs
event-driven systems
SQL
NoSQL
Oracle
AWS
Azure
Docker
Kubernetes
Kafka
CI/CD pipelines
observability platforms
System design
API development
Large language models
Prompt engineering
Retrieval-augmented generation (RAG)
Embeddings
Vector search
Agentic AI
AI security
Prompt injection
Data leakage
Output validation
OWASP LLM Top 10
Model evaluation frameworks
LLM observability tooling
Search platforms
Data retrieval platforms
Analytics platforms
Cloud-native
Modernization programs
Event-driven architectures
Streaming architectures
Copilot
Code assistants

Location

100 King Street West

Work Type

Salaried

Experience Level

7-10+ years of experience

Salary/Compensations

$70,000.00 - $150,000.00

Benefits

Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans

About the Company

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.

Equal Opportunity

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.