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Added 21 mins 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 51 mins ago
P
Core Java, Apache Spark, Python
PeoplePilot
Montreal, QC
- $120,000 to $130,000 CAD / year
- Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…
Added 1 hour ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 2 hours ago
NB
Site Reliability Engineer
National Bank of Canada
Montreal, QC
- Full-time
Required skills: Amazon Web Services, Application Security, Cloud-native Architecture, Containerization, Datadog, Decision Making, DevOps, Dynatrace, Java, Jenkins, Microservices…
Added 2 hours 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 4 hours ago
HN
industrial engineer
HongSheng North America Inc.
Cambridge, ON
- Full-time
Added 5 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 5 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 6 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 6 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 6 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 6 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 6 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 6 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 6 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
J
Development Ops Engineer
Jobgether
Canada
- Full-time
As a Development Ops Engineer, you will play a key role in maintaining and optimizing cloud-based and desktop software applications within an innovative technology environment. You will…
Added 7 hours ago
L
Senior Software Engineer
lululemon
BC · British Columbia, Canada
- Full-time
Senior Software Engineer - Tech Distribution & Logistics Systems
Added 7 hours ago
C
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 7 hours ago
C
Salesforce Release Engineer
Cognizant
Toronto, ON
- $78,000 to $125,000 CAD / year
- Full-time
…with Development, QA, UAT, Operations, Business stakeholders, Security teams, Infrastructure teams, and external…
Added 7 hours ago
C
Senior Site Reliability Specialist (SRE) – Equity Trading Platform
CGI
Montreal, QC
- Full-time
We’re looking for a Senior Site Reliability Engineer to join our Montréal team. You’ll deploy, support, and improve the Equity platform across the Americas, helping provide the best…
Added 8 hours ago
Q
Analog Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
…disciplines who come together with a shared passion for electronics, software, and communication technology. We look for individuals with a deep desire to build great products and we value…
Added 8 hours ago
T
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 9 hours ago
RR
Android & Robotics Software Developer
Remote Robotic
Ottawa, ON · Kanata, ON
- $40 to $55 CAD / hour
- Contract
You will take ownership of both the payload software and Android application for the term of the contract. Working directly with the Lead Software Engineer and product team, you will help…
Added 9 hours ago
R
Founding Engineer, Build and Deployment
Rainharbor
Toronto, ON
- Full-time
We are building software that companies can trust with the written answers they give their customers, where a wrong answer is a broken commitment. You will be the engineer who makes sure it…
Added 9 hours ago
RD
Platform Engineer
Randstad Digital Americas
Vancouver, BC
- $100,000 to $120,000 CAD / year
- Contract
Role: Senior M365 Platform Engineer / Digital Workplace Engineer

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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