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Added 22 mins ago
NB
Site Reliability Engineer
National Bank of Canada
Montreal, QC
- Full-time
…flexible and adaptable work schedule.The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master…
Added 22 mins ago
O
Solution Consultant Director, Partner channel
Omilia
Remote, Canada
- Remote
Be accountable for the performance, development, and retention of the Solution Consultants and Demo Engineers reporting into this role, creating the conditions for individual and collective…
Added 52 mins ago
NQ
mechanical engineer
Nord Quantique
Sherbrooke, QC
- Full-time
Added 52 mins ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 1 hour ago
A
Trading Systems Integration Engineer
Ambition
Montreal, QC
- Full-time
We are partnering with a leading global financial markets firm looking to hire a Trading Systems Integration Engineer into its Montreal technology team.
Added 1 hour ago
Copy of Senior Software Development Engineer in Test, ML
PlayStation Global
Waterloo, ON
PlayStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner…
Added 2 hours ago
VT
Java Full Stack Engineer - Artificial Intelligence
Viva Tech Solutions
Toronto, ON
- Contract
Strong understanding of UI/UX design principles, enterprise application architecture, and reusable component development.
Added 2 hours ago
VT
Quality Engineer - AI Chatbot Validation
Viva Tech Solutions
Toronto, ON
- Contract
5+ years of relevant experience in Quality Engineering, Quality Assurance, test automation, or software development.
Added 2 hours ago
MM
Senior Project Engineer
Martin Marietta
Kenora, ON
- Full-time
Career Development Framework (“CDF”) Information:
Added 3 hours ago
RB
Lead Quality Engineer - Automation (Data)
Royal Bank of Canada
Toronto, ON
- Full-time
The Lead Quality Engineer is responsible for creating and executing comprehensive end to end testing strategies and solutions, with focus on data validation, integrity testing, and quality…
Added 3 hours ago
Channel Solutions Engineer
Verkada
Toronto, ON
Verkada is seeking a seasoned Channel Solutions Engineer in Canada with experience in Physical Security, IoT Systems, Networking, Video Surveillance, and Access Control. This individual…
Added 4 hours ago
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Building Enclosure Engineer
BPA
Ottawa, ON · Kanata, ON
- Full-time
We are seeking a Senior Building Enclosure Engineer to join our Building Science and Restoration team.
Added 4 hours ago
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RTL Design Engineer
HCLTech
Canada
- Full-time
We're looking for a talented RTL Design Engineer with strong expertise in Verilog/SystemVerilog and PCIe protocol design/verification to join our growing team.
Added 4 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 4 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 4 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 4 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 4 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 4 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 4 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 4 hours ago
CG
Engineer, Mine (Mount Milligan)
Centerra Gold Inc.
Fort St. James, BC
- Full-time
…and copper producers engaged in the operation, exploration, development, and acquisition in Asia, North America, and other markets…
Added 4 hours ago
PC
Azure Data Consultant, Senior Associate
PwC Canada
Toronto, ON
- Full-time
As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data…
Added 5 hours ago
HT
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 5 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by –…
Added 5 hours ago
P&
Ingénieur(e) ou analyste, analyse d’opérabilité / Engineer or Analyst, Operability Analysis
Pratt & Whitney
Longueuil, QC
- 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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