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Added 51 mins ago
Technology Analyst
Infosys
ON
Infosys is seeking a hands-on Gen AI / Agentic AI Engineer to design, develop, and deploy next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation…
Added 51 mins ago
KR
AI Delivery - Oracle Fusion AI
KTek Resourcing
Brampton, ON
- Contract
…design, development, implementation, and operationalization of enterprise AI solutions across Finance, Supply Chain, Procurement, HR, and Shared Services…
Added 2 hours ago
Machine Builder Solution Manager
Siemens
Canada
…supports its customers on their journey toward becoming a Digital…
Added 2 hours ago
VT
AI Engineer - Agentic AI, Commercial Banking
Vision Talent Co.
Toronto, ON
- Contract
Role: AI Engineer – Agentic AI, Commercial Banking
Added 2 hours ago
AI Engineer, Platform and Runtime
HS Financial Technologies
Halifax, NS
As a Senior AI Platform and Runtime Engineer, you will build and operate HS Financial Technologies' shared AWS platform for AI applications and agents. AWS is the primary platform, while…
Added 3 hours ago
Consultant en Déploiement - Apprentissage automatique | Delivery Consultant - Machine Learning, ProServe Shared Delivery Team - Data & AI
Amazon
Calgary, AB · Vancouver, BC · Toronto, ON · Montreal, QC
…derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML…
Added 3 hours ago
JG
Full Stack Engineer – Self-Service & Agentic Data Platform
J&M Group
Toronto, ON
- Contract
Develop enterprise self-service portals for data discovery, onboarding, access management, deployment, monitoring, and certification.
Added 3 hours ago
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Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Contract
…Alert Ready emergency alerting system. Our newly formed AI & Data Solutions team exists to turn that scale, data, and trust into a competitive advantage across three fronts: empowering our…
Added 4 hours ago
P
Software Engineer, AI - 12 month Contract
Pelmorex
Oakville, ON
- Full-time
- Contract
…Alert Ready emergency alerting system. Our newly formed AI & Data Solutions team exists to turn that scale, data, and trust into a competitive advantage across three fronts: empowering our…
Added 4 hours ago
T
Full Stack Engineer
TechDoQuest
Toronto, ON
- Contract
Role: Full Stack Engineer – Self-Service & Agentic Data Platform
Added 4 hours ago
FG
Associate Director, Full-Stack Applications - Credit Module
Fitch Group
Toronto, ON
- $150,000 to $170,000 CAD / year
…embedding AI into the fabric of our systems. Backed by full enterprise support, you’ll build reliable, explainable intelligence at real scale within a collaborative, outcome‑driven…
Added 6 hours ago
AS
Senior Data Engineer
AgileGrid Solutions
Canada
- Full-time
You are comfortable working with structured, semi-structured, and unstructured data in both batch and streaming environments. You have experience in data analysis, data mapping, and data…
Added 6 hours ago
A
AI Platform Engineer – DevOps Experience : Halifax, Nova Scotia : FTE
AceStack
Halifax, NS
- Full-time
We are looking for an experienced AI Platform Engineer with strong DevOps expertise to design, develop, and maintain enterprise-grade AI/GenAI platforms while enhancing existing DevOps…
Added 6 hours ago
H
AI Engineer Lead
Hays
Toronto, ON
- Contract
We are seeking an experienced AI Engineer Lead to lead the engineering and production implementation of enterprise AI and Generative AI solutions on Microsoft Azure. The role requires…
Added 8 hours ago
C
Low Latency Java Developer, Vice President
Citi
Mississauga, ON
- Full-time
…using AI-augmented tools such as GitHub Copilot, Devin, and generative coding assistants to accelerate development of lifecycles, elevate code quality, and modernize enterprise…
Added 1 day ago
AS
Senior Data Engineer
AgileGrid Solutions
Canada
- Full-time
As a Senior Data and AI Engineer, you will lead the delivery and support of data and AI products that address business needs and contribute to measurable outcomes. You will work closely…
Added 2 days ago
TA
Forward Deployed Engineer (FDE) - GenAI / Agentic AI
Tiger Analytics
Toronto, ON
- Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise…
Added 2 days ago
TU
Data Science & AI Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
- Temporary
A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices.
Added 2 days ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI…
Added 3 days ago
H
Cloud Architect
Hays
Toronto, ON
- Contract
…architectures, with a focus on Microsoft Foundry, Azure OpenAI, Generative AI, RAG, Agentic AI, Azure AI Search, and enterprise data…
Added 3 days ago
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CCaaS Developer
Accenture
Montreal, QC
- Full-time
Implements and validates integrations between CCaaS platforms and enterprise systems such as CRM (Salesforce, MS Dynamics), WFM, and ticketing tools.
Added 3 days ago
FE
Applied AI Engineer – Agents & Automation
Future Electronics
Kirkland, QC
- Full-time
Collaborate with Enterprise Architecture, Security, Data, Infrastructure, and Application teams to move solutions safely into production.
Added 3 days ago
SI
Applied AI Engineer - Canada
Saransh Inc
Montreal, QC
- Contract
Experience integrating applications with enterprise systems, data platforms, and APIs.
Added 3 days ago
Senior Data Engineer
Capgemini
Calgary, AB
We are seeking an experienced Databricks Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong…
Added 3 days ago
V
AI Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled AI Engineer with strong expertise in Python, SQL, AWS Bedrock, AWS SageMaker, LangGraph, LLM Fine-Tuning, and Retrieval-Augmented Generation…

UniSysTech Consulting

AI Developer

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

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Job details

Apply by: Nov 28, 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: Oct 29, 2026

Original job description

Position Overview

We are seeking an experienced AI Developer (Mid to Senior Level) 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

Design, develop, and deploy production-ready AI and machine learning solutions, including generative AI, RAG architectures, predictive models, and AI-driven backend automation. Build secure and scalable APIs and event-driven services, integrate AWS infrastructure, automate MLOps and CI/CD pipelines, and collaborate with enterprise teams on governance and compliance.

Requirements

Requires 5+ years of hands-on experience building, training, fine-tuning, and deploying AI/ML models and applications, 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, with infrastructure as code and CI/CD exposure, and enterprise or regulated-industry experience considered an advantage.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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