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Added 2 days ago
AI
Generative AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Lead the development and delivery of enterprise GenAI products, pilots, and scalable AI solutions.
Added 4 days ago
H
Quality Engineer
Hays
Toronto, ON
- Contract
Job Title: Quality Engineer - AI/GenAI Validation & Testing
Added 4 days ago
PG
Quality Engineer – AI Chatbot Validation
Pacer Group
Toronto, ON
- $40 to $45 CAD / hour
- Contract
Job Title: Quality Engineer – AI Chatbot Validation
Added 4 days ago
M
Machine Learning Engineer
Manulife
Toronto, ON
- Full-time
We are seeking an innovative and experienced Machine Learning Engineer to join our AI + Data team, a cross-functional group spanning Operations, Technology, and Marketing. Our team's…
Added 4 days ago
AS
Senior Data Engineer
Ardent SoftSol Inc.
Toronto, ON
- Contract
Senior Data Engineer - Databricks, Microsoft Fabric:
Added 4 days ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking an experienced Lead Full Stack Engineer with strong Java/Python backend development, React frontend expertise, and hands-on knowledge of Generative AI and Agentic AI. The…
Added 4 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Engineer, evaluate and productionize enterprise GenAI using foundation models, retrieval and agentic patterns.
Added 4 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Engineer, evaluate and productionize enterprise GenAI using foundation models, retrieval and agentic patterns.
Added 5 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 5 days ago
TC
Quality Engineer / SDET – AI Chatbot Validation
Tata Consultancy Services
Toronto, ON
- $90,000 to $130,000 CAD / year
- Full-time
TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and…
Added 5 days ago
H
Senior ML Engineer
Hays
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Senior Machine Learning Engineer – GenAI & Personalisation
Added 5 days ago
C
AI Engineer (Python and AI)
Collabera
Toronto, ON
- $80 to $100 CAD / hour
- Contract
The ideal candidate is a strong application/software engineer with hands-on GenAI experience who can take existing LLM capabilities such as GPT, Claude, Gemini, or LLaMA and build…
Added 5 days ago
E
Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI…
Added 8 days ago
E
Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
…we are seeking an analytical Agentic AI Evaluation & Tuning…
Added 9 days ago
AI
Quality Engineer (QE) SDET
Apptoza Inc.
Toronto, ON
- Contract
Quality Engineer (QE) SDET AI Chatbot Validation Key Roles Responsibilities Validate chatbot responses for accuracy| relevance| completeness| and consistency.
Added 9 days ago
K
Director, AI Engineering
KPMG
ON · Toronto, Ontario
- Full-time
Our Banking & Capital Markets team in Toronto is looking for a professional like you with the skills and drive to make a real difference.
Added 9 days ago
KC
Director, AI Engineering
KPMG Canada
Toronto, ON
- Full-time
Our Banking & Capital Markets team in Toronto is looking for a professional like you with the skills and drive to make a real difference.
Added 9 days ago
L
ModiFace - DevOps Developer
L'Oréal
Toronto, ON
- Full-time
…research - originated from the research labs at the University of Toronto and further accelerated through close collaboration with L’Oréal’s Global Research & Innovation…
Added 9 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 9 days ago
H
Application Developer
Hays
ON · Ontario, Canada
- $70 to $75 CAD / hour
- Contract
Location: Toronto, ON, Waterloo, ON (Hybrid 2-3 days onsite)
Added 10 days ago
KG
Senior Data AI Engineer – GenAI & Agentic AI
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: Forward Deployed Engineer (Python/PySpark + Claude AI + Data & MLOps)
Added 10 days ago
Senior, Software Engineering (AEM + Workfront/Fusion)
DEPT®
Canada
We're looking for a Senior Software Engineer (P2), Workfront + AEM to help our clients' marketing and creative teams get their work done in one place. You'll be the backend developer who…
Added 10 days ago
Software Development Engineer II
Amazon
Toronto, ON
We're looking for a software engineer to join the team to design and build the agent end to end - the reasoning and orchestration layer, the tools and skills it uses to retrieve and analyze…
Added 10 days ago
A
Azure Enterprise Architect - Full Stack & AI Solutions (Canada)
Avanade
Toronto, ON
- Full-time
This position is open to candidates based in any market with an Avanade presence - Montreal, Ottawa, Toronto, Calgary or Vancouver
Added 10 days ago
C
AI Engineer
Collabera
Canada
- Contract
The AI Engineer will design and build GenAI-powered applications and products using Python, React/Next.js, and AWS.

Collabera

AI Engineer (Python and AI)

Toronto, ON, Canada

$80 to $100 CAD / hour · Contract

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Job details

Pay: $80 to $100 CAD / hour
Job type: Contract
Apply by: Nov 19, 2026
Experience: 6+ years of software/application engineering experience, including 1-2+ years building GenAI applications
Posting language: English
Posted: Oct 20, 2026

Original job description

Title: AI Engineer (Python & AWS)

Client: Investment Industry

Type: Contract, 6 months + possibility of extension

Location: Toronto, ON (hybrid - 3 day/week onsite)

PAY: $80-100/hr (As per experience)

Collabera is seeking an AI Engineer to support the AI & Emerging Technology team at a major Canadian pension fund. This role is focused on building production applications and products that leverage Generative AI, rather than developing machine learning models from scratch.

The ideal candidate is a strong application/software engineer with hands-on GenAI experience who can take existing LLM capabilities such as GPT, Claude, Gemini, or LLaMA and build applications, APIs, agents, RAG solutions, and other AI-powered features on top of them.

This person should be particularly strong in Python, AWS, GenAI application development, RAG, and agentic AI. They will own solutions from architecture through development and deployment, working closely with product managers, data scientists, and business stakeholders. Capital markets experience is a plus, particularly for use cases such as market analysis.

Day-to-Day Responsibilities:

The AI Engineer will design and build GenAI-powered applications and products using Python, React/Next.js, and AWS. They will develop LLM pipelines, RAG/Graph RAG solutions, AI agents, MCP integrations, APIs, and prompt-based applications using technologies such as Lang Chain, LlamaIndex, Bedrock, and commercial/open-source LLMs. The engineer will build cloud-native applications using AWS services such as EKS, Lambda, Fargate, Glue, Athena, and Lake Formation while deploying solutions through Docker, Terraform, and DevSecOps practices. They will own solutions end-to-end, including architecture, coding, testing, deployment, performance optimization, monitoring, and ongoing improvements.

Must-Haves:

6+ years of software/application engineering experience, including 1-2+ years building GenAI applications
Strong Python development experience with hands-on ownership of production applications, APIs, and microservices
Hands-on experience building GenAI applications using RAG, LLM pipelines, and Agentic AI
Strong AWS experience building and deploying cloud-native applications, ideally using Bedrock and services such as EKS, Lambda, or Fargate
Experience with GenAI frameworks and LLMs such as Lang Chain/LlamaIndex and GPT, Claude, Gemini, or LLaMA

Plusses:

Hands-on experience with MCP and/or Graph RAG architectures
Experience with vector/graph databases such as PGVector, Weaviate, Milvus, Neo4j, or Neptune
Front-end development experience with React, Next.js, TypeScript/JavaScript
Experience with Docker, Terraform, CI/CD, DevSecOps, Airflow, and automated AI testing/evaluation
Capital markets/investment management experience, particularly working with market analysis or enterprise financial data

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

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More about this job

Responsibilities

Design, build, and deploy production GenAI applications and products, including LLM pipelines, RAG and Graph RAG solutions, AI agents, MCP integrations, and APIs using Python, front-end technologies, and AWS. Own solutions end to end, from architecture and development through testing, deployment, monitoring, performance optimization, and ongoing improvement.

Requirements

Requires at least six years of software or application engineering experience, including one to two or more years building GenAI applications, with strong Python and production API or microservices experience. Candidates must have hands-on experience with RAG, LLM pipelines, agentic AI, AWS cloud-native application development, and GenAI frameworks and models; capital markets experience and several listed tools and technologies are additional advantages.

Skills

Python
Retrieval-Augmented Generation (RAG)
Agentic AI
AWS
LLM Pipelines
API And Microservices Development
LangChain
LlamaIndex
AWS Bedrock
Graph RAG
MCP Integrations
Docker
Terraform
React And Next.js
DevSecOps

Benefits

Vacation Pay
Public Holidays
Leaves Of Absence
Other Legally Mandated Benefits Or Payments

Visa sponsorship

Not detected in the job text

Keywords

Python
Generative AI
AWS
Amazon Bedrock
GPT
Claude
Gemini
LLaMA
LangChain
LlamaIndex
Retrieval-Augmented Generation (RAG)
Graph RAG
Agentic AI
AI Agents
MCP
APIs
Microservices
React
Next.js
TypeScript
JavaScript
EKS
AWS Lambda
AWS Fargate
AWS Glue
Amazon Athena
AWS Lake Formation
Docker
Terraform
DevSecOps

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