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Developer Lead (AI-Enabled Systems

Job in Toronto, Ontario, C6A, Canada
Listing for: Bank of Montreal
Full Time position
Listed on 2026-08-19
Job specializations:
  • Software Development
    Backend Developer, Full Stack Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 76000 - 142000 CAD Yearly CAD 76000.00 142000.00 YEAR
Job Description & How to Apply Below
Position: Developer Lead (AI-Enabled Systems)
Final date to receive applications:08/30/2026

Address:100 King Street West 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 OnBuild 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 ReactAI / LLM:
Lang Chain, AWS Bedrock, Azure OpenAI, Copilot Studio, OpenAI and Anthropic APIsRetrieval:
Vector databases including pgvector, Open Search or Pinecone, or Chroma Architecture:
Microservices, APIs, event-driven systems

Data: SQL/No

SQL, 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 Skills7-10+ 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…
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