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Added 10 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Minimum 5 years of hands-on software development experience in the Java ecosystem.
Added 10 days ago
PG
Full Stack Java Developer
Pacer Group
Montreal, QC
- $45 to $48 CAD / hour
- Contract
Strong experience in full-stack development with Java-based back end and modern front-end technologies including JavaScript/TypeScript, HTML5, CSS, and Angular (8/10+, preferably Angular…
Added 10 days ago
FI
Full Stack Engineer
Flexton Inc.
Toronto, ON
- Full-time
Experience with Java/Spring MVC, JavaScript , Jenkins (CI/CD) experience Strong in DS/Algorithms, React, HTML5 knowledge, NodeJS/ Java Script, working with data (Oracle/NoSQL),
Added 10 days ago
AI
Senior Java Full Stack Developer
Aptino, Inc.
ON · Ontario, Canada
- Contract
WE’RE HIRING: Senior Java Full Stack Developer
Added 10 days ago
JG
Senior Java Full Stack Developer
J&M Group
Toronto, ON
- Contract
We are hiring for a Senior Java Full Stack Developer. This role focuses on building scalable enterprise applications using Java, Spring Boot, modern front-end frameworks, and cloud…
Added 10 days ago
TC
Analyst
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 10 days ago
FS
Senior Angular Developer
Futran Solutions
Montreal, QC
- Contract
Strong full-stack development experience with:
Added 10 days ago
L
Forward Deployed Engineer (Toronto)
LumApps
Toronto, ON
- Full-time
Full-Stack Fluency: Proficiency in Node.js, TypeScript, Java or Python. You should be comfortable with frontend frameworks like React and backend API design.
Added 10 days ago
C
Senior Java Full Stack Developer (Hybrid)
Cognizant
Toronto, ON
- Full-time
As a Senior Java Full Stack Developer, you will make an impact by designing, developing, and supporting scalable, secure, and high-performing enterprise applications that power critical…
Added 10 days ago
MI
Junior Quality Engineer
Method Integration Inc.
Remote, Canada
- $50,000 to $60,000 USD / year
- Full-time
- Remote
Good understanding of JavaScript/Typescript, Python and Java languages.
Added 10 days ago
P
Senior AI Engineer
Perceptic
Engineer, BC
- Full-time
Our stack is React and TypeScript on the front end, Java and Python services behind it, and an agent layer built on durable, fault-tolerant workflows that reason over scientific data…
Added 10 days ago
Analyste de Support à la Production / Production Support Analyst
mthree
Montreal, QC
…Bash et Python, ainsi que de langages compilés tels que C, C#, Java, Scala et Go, est particulièrement pertinente, bien que d’autres langages soient également…
Added 10 days ago
Full Stack Developer - Cash Equity
HSBC Global Services Limited
Toronto, ON
As a Full Stack Developer in Corporate and Institutional Banking - Cash Equities you will join the Client and Market Connectivity team in Toronto, building strategic Financial Information…
Added 10 days ago
Technology Lead - Angular
Infosys
ON
Infosys is seeking a Frontend Developer - Angular for a critical enterprise application undergoing transition. In this role, you will interface with key business and technical stakeholders…
Added 10 days ago
Technology Lead - Angular
Infosys
ON
Infosys is seeking a Frontend Developer - Angular for a critical enterprise application undergoing transition. In this role, you will interface with key business and technical stakeholders…
Added 10 days ago
OT
Lead Software Developer
Open Text Corporation
Richmond Hill, ON
- Other
As a Lead Software Developer on the OpenText Application Integrator product team, you will enhance product security by addressing vulnerabilities, design and maintain mission-critical…
Added 10 days ago
FS
Java Full Stack Developer
Futran Solutions
Mississauga, ON
- Full-time
Candidate must have strong knowledge on java, springboot, reactive spring, graphql.
Added 10 days ago
IG
Software Engineer
IMCS Group
Quebec, QC
- Contract
Develop full-stack applications using Java on the backend and JavaScript or TypeScript, HTML5, CSS, and Angular on the frontend.
Added 10 days ago
AI
Java FullStack Developer
Apptoza Inc.
Montreal, QC
- Contract
Full-stack development, across back-end including Java, and front-end including JavaScript or Typescript, HTML5, CSS, and Angular (8, 10 or later, preferably 17).
Added 10 days ago
PG
Java Full stack Developer
Pacer Group
Mississauga, ON
- $120,000 to $130,000 CAD / year
- Full-time
Proven full-stack development expertise with hands-on experience in Java, Angular OR React, and REST APIs.
Added 10 days ago
F
Staff Back End Engineer- TQM
Forma.ai
Toronto, ON
- Full-time
Proficiency in Kotlin, Java, or a similar language, and comfort working across the stack, including a TypeScript and React frontend.
Added 10 days ago
G
Senior Full Stack Developer
Galent
Toronto, ON
- Contract
We are seeking a Senior Full Stack Developer with strong expertise in Angular, Java, Spring Boot, Node.js, and microservices. The role focuses on building production-ready applications,…
Added 10 days ago
C
Senior Engineering Manager
Citi
Mississauga, ON
- Full-time
Full-Stack / Distributed Systems Mastery: Deep technical foundation in modern programming languages and frameworks (e.g., Java/Spring Boot, Python, React/Angular), microservices…
Added 10 days ago
AI Full Stack Engineer
Scotiabank
Toronto, ON
The AI Full Stack Engineer will design, build, and operate scalable software platforms that enable teams to develop, deploy, monitor, and govern artificial intelligence and machine learning…
Added 10 days ago
FS
Java Full Stack Developer
Futran Solutions
Mississauga, ON
- Full-time
Candidate must have strong knowledge on java, springboot, reactive spring, graphql.

Scotiabank

AI Full Stack Engineer

Toronto, ON, M5H 1H1, Canada

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Job details

Experience: 3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.
Posting language: English
Posted: Oct 14, 2026

Original job description

Requisition ID: 276378

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Role:

The AI Full Stack Engineer will design, build, and operate scalable software platforms that enable teams to develop, deploy, monitor, and govern artificial intelligence and machine learning solutions in production. This role sits at the intersection of software engineering, cloud infrastructure, MLOps, and applied AI, with a focus on building reliable platform capabilities that accelerate safe and efficient AI adoption across the enterprise.

Is this role right for you? In this role you will:

Design, develop, and maintain reusable platform services for AI and machine learning workloads, including model training, evaluation, deployment, inference, monitoring, and lifecycle management.

Build scalable APIs, orchestration layers, SDKs, and self-service tooling that improve developer productivity and reduce friction for AI product teams.

Implement production-grade MLOps and LLMOps capabilities, including CI/CD pipelines, model and prompt versioning, automated testing, observability, drift detection, and rollback mechanisms.

Partner with data scientists, machine learning engineers, application teams, security, risk, and architecture stakeholders to translate AI use cases into secure, reliable platform capabilities.

Develop and operate containerized workloads using Kubernetes, Docker, cloud-native services, and infrastructure-as-code practices.

Support retrieval-augmented generation, vector search, agentic workflows, model serving, feature pipelines, and enterprise integration patterns where applicable.

Embed reliability, resiliency, scalability, cost optimization, governance, and security controls into platform design and day-to-day engineering practices.

Define and enforce engineering standards for code quality, testing, observability, documentation, operational readiness, and production support.

Evaluate emerging AI platform tools, frameworks, and cloud services, and recommend adoption patterns aligned with enterprise architecture standards.

Participate in incident response, root-cause analysis, performance tuning, and continuous improvement of platform services.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Machine Learning, or a related technical discipline, or equivalent practical experience.

3+ years of professional software engineering experience building production systems, platforms, APIs, or distributed services.

Strong programming skills in Python, Java, Scala, or a similar language, with a focus on clean, testable, maintainable code.

Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud, including compute, storage, networking, identity, and managed AI or data services.

Experience with containerization and orchestration technologies such as Docker and Kubernetes.

Familiarity with MLOps, CI/CD, model deployment, experimentation tracking, observability, logging, monitoring, and automated testing practices.

Working knowledge of machine learning concepts, model serving patterns, data pipelines, feature engineering, or generative AI application patterns.

Experience building modern front-end applications using frameworks such as React, Angular, or Vue, with strong understanding of component-based design, state management, and responsive user interfaces.

Ability to develop intuitive, accessible, and performant user experiences for developer portals, dashboards, workflow tools, or self-service platform interfaces.

Experience applying secure software development practices, access controls, secrets management, and production operational controls.

Strong problem-solving, communication, collaboration, and ownership skills in a cross-functional engineering environment

Nice‑to‑Have Qualifications:

Experience building internal developer platforms, AI platforms, ML platforms, or shared engineering services at enterprise scale.

Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Databricks, Ray, Spark, Feature Stores, vector databases, or model registries.

Experience with LLM application development, retrieval-augmented generation, prompt orchestration, evaluation frameworks, guardrails, or agentic AI workflows.

Familiarity with infrastructure-as-code tools such as Terraform, Bicep, ARM templates, CloudFormation, or Pulumi.

Experience operating services in regulated environments with governance, auditability, data privacy, and model risk management requirements.

Certifications such as Azure AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or Certified Kubernetes Administrator.

What's in it for you?

Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.

Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.

Upskilling through online courses, cross-functional development opportunities, and tuition assistance.

Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.

Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.

Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

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More about this job

Responsibilities

The AI Full Stack Engineer will design, build, and operate scalable software platforms to support AI and machine learning solutions in production. This role involves developing reusable platform services, APIs, and MLOps capabilities while collaborating with cross-functional teams to ensure secure and efficient AI adoption.

Requirements

Candidates must have a bachelor's degree in a technical discipline and at least 3 years of professional software engineering experience. Proficiency in Python, Java, or Scala, along with hands-on experience in cloud platforms, containerization, and MLOps practices, is required.

Skills

Python
Java
Scala
Kubernetes
Docker
Cloud platforms
MLOps
LLMOps
CI/CD
React
Angular
Vue
API development
Machine learning
Generative AI
Infrastructure-as-code

Benefits

Diversity, Equity, Inclusion & Allyship programs
Employee Resource Groups
Upskilling through online courses
Cross-functional development opportunities
Tuition assistance
Competitive rewards program
Bonus
Flexible vacation
Personal days
Sick days
Benefits starting on day one
Community engagement programs

Visa sponsorship

Not detected in the job text

Keywords

AI Full Stack Engineer
MLOps
LLMOps
Kubernetes
Docker
Python
Java
Scala
Cloud Computing
AWS
Azure
Google Cloud
CI/CD
React
Angular
Vue
Machine Learning
Generative AI
Infrastructure-as-code
Terraform
MLflow
Kubeflow
Airflow
Databricks
Vector Databases
Retrieval-Augmented Generation
API Development
Software Engineering
Data Engineering
Enterprise Architecture

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