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Added 2 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Quebec, QC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Prince George, BC
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 mins ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 2 mins ago
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Senior Silicon ML Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…nexus of silicon design and machine learning. As a Silicon ML Engineer on our team, you’ll fuse knowledge of chip design and ML into end-to-end silicon design flows. If you thrive on…
Added 17 mins ago
PC
Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
…responsible for developing and implementing data pipelines, data integration, and data transformation…
Added 1 hour ago
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Senior Software Engineer
lululemon
BC · British Columbia, Canada
- Full-time
As a Senior Software Engineer, you will lead the design and implementation of complex software systems and features spanning multiple services and components, establishing technical…
Added 1 hour ago
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Ingénieur de données senior
CGI
Montreal, QC
- Full-time
The Data Engineer Senior acts as a specialist in the design, development, integration and optimisation of data solutions. They contribute to the implementation of pipelines, integration…
Added 2 hours ago
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Full Stack Engineer
Tookli
Mascouche, QC
- Full-time
Role Description The Full Stack Engineer will work on-site full time at Tookli’s location in Montreal, QC, contributing to the design, development, and maintenance of web applications from…
Added 2 hours ago
RR
Android & Robotics Software Developer
Remote Robotic
Ottawa, ON · Kanata, ON
- $40 to $55 CAD / hour
- Contract
…term of the contract. Working directly with the Lead Software Engineer and product team, you will help shape technical decisions and deliver a reliable, field-ready…
Added 2 hours ago
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Founding Engineer, Build and Deployment
Rainharbor
Toronto, ON
- Full-time
…where a wrong answer is a broken commitment. You will be the engineer who makes sure it deserves that trust: helping shape the first release as it is built, proving it against its promises,…
Added 3 hours ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
…is the primary priority for this role. We are looking for an engineer who excels at utilizing modern AI frameworks, LLMs, and intelligent automation to solve complex back-end…
Added 3 hours ago
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ASICS Design Verification Engineer (Vancouver, Markham OR Remote)
Qualcomm
Remote, Canada
- Full-time
- Remote
Master’s degree in Computer Science, Electrical Engineer, Computer Engineering, or a closely related field
Added 3 hours ago
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Engineer
Qualcomm
Toronto, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or…
Added 4 hours ago
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Senior Full Stack Engineer (Rails & React)
REW.ca
Vancouver, BC
- Full-time
We’re seeking a highly skilled Full Stack Software Engineer with deep expertise in Ruby on Rails and React.
Added 4 hours ago
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Lead Automation Engineer
RBC
Toronto, ON
- Full-time
We are seeking an exceptional Principal Engineer to lead the design, development, and implementation of AI-driven software development lifecycle and intelligent automation solutions. This…
Added 4 hours ago
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Software Engineer
Microsoft
Vancouver, BC
- Full-time
The Microsoft Fabric Data Integration team enables organizations to connect, move, and transform data across their data estate. Our integration capabilities help customers ingest,…
Added 4 hours ago
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Senior iOS Software Engineer
eBay
Toronto, ON
- Full-time
eBay Selling team is looking for a Senior iOS Engineer who is passionate about creating apps that consumers love. This is an amazing opportunity to join a world leader in mobile commerce…
Added 4 hours ago
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Data Valuation Analyst
Maarut
Montréal-Est, QC · Montreal, Quebec
- Contract
Data engineer or ETL developer profile with no demonstrated
Added 5 hours ago
KA
Senior Databricks Engineer
KData AI
Toronto, ON
- Full-time
We are seeking an experienced Senior Databricks Engineer with a deep background in distributed data systems to architect, scale, and optimize enterprise-grade lakehouse solutions. In this…
Added 5 hours ago
PC
Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
…responsible for developing and implementing data pipelines, data integration, and data transformation…
Added 5 hours ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Insight Global is seeking a Principal Platform Engineer for a global retailer to take technical ownership of and scale an enterprise AI platform within GCP.

UniSysTech Consulting

Senior AI Developer

Toronto, ON, Canada
Greater Toronto and Hamilton Area, ON, Canada

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Job details

Apply by: Dec 2, 2026
Experience: Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Posting language: English
Posted: Nov 2, 2026

Original job description

Position Overview

We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role, you will focus on building intelligent back-end systems, automated workflows, and scalable AI capabilities.

While experience with cloud automation in AWS is highly valuable, deep AI/ML expertise is the primary priority for this role. We are looking for an engineer who excels at utilizing modern AI frameworks, LLMs, and intelligent automation to solve complex back-end problems.

Key Responsibilities

AI & Machine Learning Engineering: Lead the design and implementation of production-ready AI/ML capabilities, including Generative AI models, Retrieval-Augmented Generation (RAG) architectures, and predictive solutions.
Intelligent Automations: Build automated back-end pipelines and processes that leverage AI to optimize operational workflows, data processing, and enterprise tooling.
AWS Integration & Cloud Infrastructure: Work closely with AWS services (e.g., SageMaker, Bedrock, Lambda, EventBridge) to host, automate, and scale AI-driven backend services.
Back-End API & Service Development: Architect robust, secure, and performant back-end APIs, microservices, and asynchronous event-driven systems.
MLOps & Pipeline Automation: Implement automated CI/CD workflows for model deployment, monitoring, model drift tracking, and continuous integration/delivery.
Technical Leadership & Architecture: Partner with enterprise architects, data engineers, and security teams to ensure AI systems align with governance, compliance, and enterprise risk standards.

Qualifications & Key Requirements

Must-Have Skills (Top Priority)

Advanced AI / ML Expertise: 5+ years of hands-on experience building, training, fine-tuning, and deploying machine learning models and AI applications into production.
Generative AI & Modern AI Frameworks: Proficiency with LLM orchestration (e.g., LangChain, LlamaIndex), RAG pipeline design, vector databases, and prompt engineering.
Back-End Mastery: Strong proficiency in Python (FastAPI, Flask, or async Python frameworks) and software design patterns focused entirely on backend services, APIs, and data processing.
Automation Engineering: Demonstrated experience automating complex backend tasks, data pipelines, and system workflows using AI-driven approaches.

AWS & Cloud Skills (Secondary Focus)

AWS Cloud Services: Practical experience with core AWS backend and AI infrastructure, such as AWS Bedrock, SageMaker, Lambda, API Gateway, S3, ECS, and EventBridge.
Infrastructure as Code & DevOps: Exposure to CloudFormation or Terraform, alongside standard Git-based CI/CD pipelines.

Nice-to-Have Skills

Background in large enterprise or regulated industries (e.g., Financial Services, Telecommunications).
Knowledge of Responsible AI principles, model governance, and data security standards.
Familiarity with containerization (Docker, Kubernetes/EKS).
Typescript, React, Angular and Java

Work Environment

Hybrid Model: Requirement to work 2 days per week in-office at our Downtown Toronto office, with up to 3 days remote flexibility.

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More about this job

Responsibilities

Lead the design, development, and deployment of production-ready AI/ML solutions, including generative AI, RAG architectures, predictive models, and AI-driven backend automations. Build scalable backend APIs and event-driven services, integrate AWS infrastructure, automate MLOps pipelines, and ensure solutions meet enterprise governance, compliance, and security standards.

Requirements

Requires 5+ years of hands-on experience building, training, fine-tuning, and deploying production AI/ML models and applications, along with expertise in LLM orchestration, RAG, vector databases, and prompt engineering. Strong Python backend development and automation experience are essential; practical AWS experience is also sought, while enterprise or regulated-industry experience, responsible AI knowledge, and containerization are advantageous.

Skills

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Backend API Development
AWS
MLOps
CI/CD
Infrastructure as Code

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Predictive Models
LangChain
LlamaIndex
Vector Databases
Prompt Engineering
Python
FastAPI
Flask
Backend APIs
Microservices
AWS Bedrock
Amazon SageMaker
AWS Lambda
Amazon API Gateway
Amazon S3
Amazon ECS
Amazon EventBridge
MLOps
CI/CD
CloudFormation
Terraform
Docker
Kubernetes
Responsible AI

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