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Added 26 mins ago
TC
Site Reliability Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…navigated every technology cycle, from mainframes in the 1970s to artificial intelligence…
Added 1 hour ago
CI
Group 3 - Table 29 - Electronic Warfare
Calian in Space & Technology
Ottawa, ON
- Full-time
Added 1 hour ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Kelowna, 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 hours ago
GD
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our…
Added 2 hours ago
L
Senior Software Engineer - Data and AI Platforms
lululemon
Vancouver, BC
- Full-time
…platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics…
Added 5 hours ago
VT
Java Full Stack Engineer - Artificial Intelligence
Viva Tech Solutions
Toronto, ON
- Contract
Added 7 hours ago
A
Ingénieur En Mécanique / Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
Job Title: Mechanical Engineer Job Description
Added 7 hours 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 7 hours 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 7 hours 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 7 hours 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 7 hours 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 7 hours 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 7 hours 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 7 hours ago
A
Power System Engineer
ABB
QC · Saint-Laurent, Quebec
- Full-time
ABB may utilize Artificial Intelligence (AI)–enabled tools as part of its recruitment and selection processes. These tools are used solely to support and enhance decision-making; final…
Added 7 hours ago
PC
Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we…
Added 8 hours ago
J
Development Ops Engineer
Jobgether
Canada
- Full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential…
Added 9 hours ago
A
Electronics Engineer
Actalent
Oakville, ON
- $40 to $50 CAD / hour
- Contract
We are seeking a hands-on Electronics Engineer to support the testing, troubleshooting, and development of electronic hardware and devices. In this role, you will work closely with a…
Added 9 hours ago
A
Spécialiste Qualité Fournisseurs
Actalent
Laval, QC
- $40 to $55 CAD / hour
- Contract
We are seeking a Supplier Quality Engineer to manage a critical supplier, ensuring that commitments are met, recovery plans are driven, and supply chain risks affecting production are…
Added 9 hours ago
A
Power System Engineer
ABB
Montreal, QC · Saint-Laurent, QC
- Full-time
ABB may utilize Artificial Intelligence (AI)–enabled tools as part of its recruitment and selection processes. These tools are used solely to support and enhance decision-making; final…
Added 9 hours ago
T
Full Stack Engineer
Tookli
Mascouche, QC
- Full-time
…AI-driven products. The team focuses on web and mobile development, artificial intelligence, automation, and custom digital solutions that streamline operations and support growth.…
Added 10 hours ago
R
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 10 hours ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
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,…
Added 11 hours ago
R
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 12 hours ago
TO
Engineering Manager
Town of Pelham
Fonthill, ON
- Full-time

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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