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Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled, hands-on Lead Python AI Principal Engineer to join Citi in spearheading the design and development of cutting-edge AI platforms and services. This role…
Added 2 months ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled, hands-on Lead Python AI Principal Engineer to join Citi in spearheading the design and development of cutting-edge AI platforms and services. This role…
Added 6 months ago
PC
AI Product Engineer, Games
Puzzle Cats
Remote, Canada
- Full-time
- Remote
We’re looking for an AI Product Engineer who wants to build something big and move fast. This is a hands-on, highly product-oriented role for someone who wants to invent, ship, and scale…
Added 6 months ago
S
Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 6 months ago
HA
Forward Deployed Engineer
H2 Analytics
Remote, Canada
- Full-time
- Remote
As a Forward Deployed Engineer, you will deploy, configure, and support EASE and other software solutions in client environments, primarily on-premises. Working as part of a project team,…
Added 6 months ago
M
Lead, Data Engineer
McKesson
Remote, Canada
- Full-time
- Remote
The Lead Data Engineer is a senior individual contributor within McKesson’s Decision Intelligence organization, responsible for leading the design, delivery, and operationalization of…
Added 6 months ago
UM
Senior Backend Engineer
US Mobile
Toronto, Ontario
- Full-time
We're looking for an exceptional backend engineer and hands-on architect to help us scale and connect millions of devices to wireless networks. The projects and potential impact are…
Added 7 months ago
Q
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
- Full-time
AI Performance Engineer (Cloud AI Engineering)
Added 5 months ago
Senior Data Engineer, Event Data
Movable Ink
Toronto, Ontario
The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data…
Added 1 month ago
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Network Engineer
''
Florenceville-Bristol, NB
- Full-time
- Other
Reporting to the Manager of Network Services, the Network Engineer is responsible for supporting, operating, and evolving enterprise network infrastructure across on-prem and cloud…
Added 6 months ago
PA
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
- Full-time
The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and…
Added 2 months ago
B
AI Engineer - Generative & Agentic AI
BDO
Toronto, ON · Oakville, ON · Halifax, NS · Calgary, AB
- Full-time
We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions. This new role is ideal…
Added 6 months ago
P
Senior Software Engineer - Java
PointClickCare
Mississauga, ON
- Full-time
Hands-on experience with modern frontend frameworks, primarily React or Vue.js.
Added 2 months ago
DI
Specialist, AI Engineering
Definity Insurance Company
Toronto, ON
- Full-time
We are seeking a forward-thinking AI Engineer to join our innovative team and drive the future of Property & Casualty (P&C) insurance. This role is pivotal in bridging the gap between…
Added 5 months ago
AG
Lead AI Engineer
Altus Group
Toronto, Ontario
- Full-time
Reporting to the Principal Architect, we are hiring a Lead AI Engineer to help shape and build the next generation of AI capabilities across the Altus Group platform ecosystem. As our new…
Added 7 months ago
MI
Engineer, AI & Software Testing
Magna International
Toronto, Ontario
- Full-time
3+ years of recent, in-depth, hands-on experience in a relevant field in the automotive industry
Added 2 months ago
FI
Principal Software Engineer
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
Strong hands-on experience designing and building distributed systems
Added 1 month ago
A
Guidewire Developer - Rating / Pricing
Aviva
Markham, ON
- Other
3 - 5 years proven experience in Guidewire Development, ideally with hands‑on PolicyCenter rating experience.
Added 1 month ago
Staff Offensive Security Engineer
Robinhood
Toronto, ON
As a Staff Offensive Security Engineer, you will take a hands-on role in designing and executing stealthy adversarial simulations to validate assumptions and uncover gaps in detection and…
Added 2 months ago
Senior Software Engineer
Evismart
Vancouver, BC
…you're ready to stop being the boss and start being the best engineer in the room, I want to…
Added 3 months ago
G
AI Developer
GenAIz
Montreal, Quebec
- Full-time
We're seeking a seasoned professional with hands-on experience in designing, developing, and deploying various machine learning models. As our ideal candidate, you'll be responsible for:
Added 5 months ago
CI
Senior Engineer, Data Enablement, Data Platforms
CPP Investments | Investissements RPC
Toronto, Ontario
- Full-time
5+ years of software engineering experience delivering production-grade services using Python
Added 3 months ago
CI
Lead Engineer, Data Enablement, Data Platforms
CPP Investments | Investissements RPC
Toronto, Ontario
- Full-time
Hands-on experience with Infrastructure-as-Code and DevSecOps practices (e.g., Terraform, CI/CD pipelines, automated security controls)
Added 2 months ago
Senior Developer Experience Engineer
Justworks
Toronto, ON
You are a tooling-focused engineer who obsesses over developer productivity. You’ve built and maintained CI/CD pipelines, developer tooling, and automation that makes engineering teams…
Added 1 month ago
Senior Quality Assurance Engineer
NetBrain
Toronto, ON
NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We…

ShyftLabs

Senior AI Engineer

Toronto, ON, Canada

$120,000 - $160,000 (CAD) · Full-time

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Job details

Pay: $120,000 - $160,000 (CAD)
Job type: Full-time
Posting language: English
Posted: Apr 21, 2026

Original job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're scaling globally with entities in Canada, the U.S., and India and we're looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

The Opportunity

ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering position where you'll design, build, and ship AI-powered features directly into production systems. You'll work closely with Product, Architecture, and cross-functional engineering teams to integrate intelligent capabilities into our next generation of data-driven platforms, while also contributing to the scalable backend infrastructure that powers them.

The ideal candidate combines deep AI/ML engineering experience with strong backend development skills, someone equally comfortable fine-tuning an LLM integration as they are designing a robust API or event-driven service.

\nWhat You'll Do

Architect and implement AI-powered features end-to-end, from model integration and prompt engineering to deployment, monitoring, and iteration
Integrate LLM APIs, ML models, and intelligent automation pipelines into scalable, production-grade backend systems
Fine-tune and optimize models for performance, reliability, and cost efficiency in live environments
Design and build robust APIs, event-driven services, and third-party integrations that support AI-enabled workflows
Collaborate with Product to translate business requirements into technical AI solutions, defining scope, complexity, and dependencies
Build and maintain data pipelines and MLOps workflows to support model deployment and lifecycle management
Contribute to system architecture decisions, integration patterns, and reusable AI frameworks across the platform
Partner with data scientists and engineers to ensure smooth, scalable model deployments
Produce clear technical documentation, architecture diagrams, data flows, API specs, and AI integration patterns
Lead code reviews, enforce best practices in code quality and testing, and mentor engineers across teams
Troubleshoot complex production issues across distributed and AI-integrated systems
Stay ahead of industry trends in AI/ML tooling, frameworks, and practices

What You Bring

5+ years of experience building scalable, production-grade software systems
2+ years of hands-on AI/ML engineering experience, including deploying models into production environments
Bachelor's degree in Computer Science, Data Science, AI, or a related field
Strong expertise in Python, with hands-on experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid backend engineering background, API development, microservices, distributed systems, and event-driven architectures
Experience integrating LLM APIs and building AI-driven features into web or platform applications
Strong proficiency in JavaScript/TypeScript and Node.js, with exposure to GraphQL
Deep experience building and consuming RESTful APIs and distributed services
Proficiency with SQL and hands-on experience with cloud platforms, GCP or AWS (e.g., S3, Lambda, RDS, EC2)
Familiarity with MLOps best practices and tools for model monitoring, versioning, and deployment
Strong understanding of software design patterns, system architecture, and data flow design
Excellent communication skills with the ability to articulate complex technical concepts clearly
Experience working in Agile/Kanban environments with a strong grasp of the full SDLC

Nice to Have

Experience with data platforms, analytics systems, or ETL pipelines
Familiarity with real-time data processing and messaging systems such as Kafka or SQS
Exposure to tax, fintech, or compliance-related product development
Experience designing multi-tenant or enterprise-grade SaaS platforms
Background in integration-heavy environments such as ERP, financial systems, or external data providers

Salary Range

$120,000 - $160,000 (CAD)

Why You’ll Love Working at ShyftLabs

At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us.

Here’s what you can expect when you join our team:

-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.

-Downtown Toronto Office: Work in the heart of the city.

-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.

-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.

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More about this job

Responsibilities

Architect and implement end-to-end AI-powered features, including model integration, prompt engineering, and deployment into production systems. Collaborate with cross-functional teams to build scalable backend infrastructure, APIs, and MLOps workflows that support intelligent automation.

Requirements

Requires 5+ years of experience in scalable software systems and 2+ years of hands-on AI/ML engineering experience. Candidates must possess a bachelor's degree in a relevant field and strong proficiency in Python, backend development, and cloud platforms.

Skills

Python
TensorFlow
PyTorch
Scikit-learn
JavaScript
TypeScript
Node.js
GraphQL
RESTful APIs
SQL
GCP
AWS
MLOps
System architecture
Prompt engineering
Distributed systems

Benefits

Health insurance
Dental insurance
Vision insurance
Learning and development resources

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Backend Development
LLM
Python
TensorFlow
PyTorch
Scikit-learn
JavaScript
TypeScript
Node.js
GraphQL
RESTful APIs
SQL
GCP
AWS
MLOps
Microservices
Distributed Systems
Event-driven Architecture
Agile
Kanban
SDLC
Data Pipelines
ETL
SaaS
Fintech
Compliance
Prompt Engineering
System Architecture

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