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Added 23 days ago
Analyst, Corporate Actions
Questrade Financial Group
Toronto, ON
…Claude) to parse complex financial documents, eliminate manual data entry, and drive unprecedented efficiency within the Corporate Action…
Added 23 days ago
GO
Product Development Engineering Co-op Student
G2V Optics
Edmonton, AB
- Contract
Job Description - Product Development Engineering Co-op Student
Added 23 days ago
EB
AI Solutions Engineer, Technology Workplace Services
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
…business analysis and process improvement with hands-on solution engineering using approved enterprise AI, automation, analytics, scripting, and low-code platforms. The incumbent works with…
Added 23 days ago
GC
AI Engineer
GEI Consultants, Inc.
Vaughan, ON
- $110,000 to $150,000 CAD / year
- Full-time
…by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform…
Added 23 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 23 days ago
KG
Kafka Developer/Administrator
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
Collaborate with application, infrastructure, DevOps, and data engineering teams for application onboarding and support.
Added 23 days ago
S
Data Platform Engineer
Shift4
Toronto, ON
- Full-time
This is a hands-on infrastructure engineering role focused on pipeline performance, reliability, scalability, resource optimization, cost efficiency, and observability. You will help ensure…
Added 23 days ago
SP
Technical Lead, Enterprise Applications
Spark Power
Remote, Canada
- $105,000 to $120,000 CAD / year
- Other
- Remote
Proficiency in developing SQL queries, extracting data from databases, and understanding complex database schemas and database objects.
Added 23 days ago
A
Senior Application Development Specialist
AESO
Calgary, AB · KPMG Tower
- Full-time
Working collaboratively with Solution Architecture, Technical Leads, Product Teams, Cyber Security, Data and Artificial Intelligence teams, the role translates approved technology direction…
Added 23 days ago
M
Lead Data Scientist
Mastercard
Toronto, ON
- Full-time
Work hands-on with Python, SQL, Spark, Hadoop, and Databricks to develop scalable data-processing pipelines, reusable analytical datasets, model features, and production-ready solutions.
Added 23 days ago
AI and Data - Senior Consultant - AI Engineer
EY
AB · Calgary, AB
A degree in Computer Science, Data Science, Engineering or related technical discipline (MSc/PhD is an advantage).
Added 23 days ago
AI and Data - Manager - AI Engineer
EY
AB · Calgary, AB
A degree in Computer Science, Data Science, Engineering or related technical discipline (MSc/PhD is an advantage).
Added 23 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON · Toronto, ON · Mississauga, ON · Burlington, ON
- Full-time
The Data Engineering Expert is a critical role in the data organization, responsible for providing hands on Engineering Leadership by leading the design and build of data products that…
Added 23 days ago
LI
Artificial Intelligence Engineer
LanceSoft, Inc.
Peterborough, ON
- Contract
Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, and domain experts to translate business requirements into robust technical solutions.
Added 23 days ago
EB
AI Solutions Engineer, Technology Workplace Services
EQ Bank
Toronto, ON
- Full-time
…business analysis and process improvement with hands-on solution engineering using approved enterprise AI, automation, analytics, scripting, and low-code platforms. The incumbent works with…
Added 23 days ago
C
Data Engineering Expert
Co-operators
Mississauga, ON
- Full-time
The Data Engineering Expert is a critical role in the data organization, responsible for providing hands on Engineering Leadership by leading the design and build of data products that…
Added 23 days ago
C
Data Engineering Expert
Co-operators
Burlington, ON
- Full-time
The Data Engineering Expert is a critical role in the data organization, responsible for providing hands on Engineering Leadership by leading the design and build of data products that…
Added 23 days ago
C
Data Engineering Expert
Co-operators
Guelph, ON
- Full-time
The Data Engineering Expert is a critical role in the data organization, responsible for providing hands on Engineering Leadership by leading the design and build of data products that…
Added 23 days ago
KG
Kafka Platform Engineer/Admin
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Collaborate with application, data engineering, infrastructure, and DevOps teams to onboard and support Kafka applications.
Added 23 days ago
KG
Senior Python Developer (PySpark & AWS Platform Engineering)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
We are seeking an elite Senior Python Developer with a mastery of PySpark and AWS distributed infrastructure to drive the engineering and integration of our core data platform ecosystem.…
Added 23 days ago
B
Job Posting Title Quantitative Developer, Global Asset Management
BMO
Toronto, ON · FCP
- Full-time
…operations. The ideal candidate combines a deep understanding of data engineering with a strong knowledge of financial markets and…
Added 23 days ago
ZS
Forward Deployed Engineer (Python/PySpark + Claude + SQL + APIs + Data & MLOps)
Zodiac Solutions, Inc
Toronto, ON
- Full-time
10–14 years of experience in Data Engineering, AI Applications, LLM Integration, APIs and MLOps platforms.
Added 23 days ago
P
Senior Software Engineer
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Knowledge of scripting languages such as Python, Bash or Groovy
Added 23 days ago
B
Job Posting Title Quantitative Developer, Global Asset Management
BMO
Toronto, ON
- Full-time
…operations. The ideal candidate combines a deep understanding of data engineering with a strong knowledge of financial markets and…
Added 23 days ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
…This role sits at the intersection of research and systems engineering and will help shape the next generation of relational foundation model for structured…

LanceSoft, Inc.

Artificial Intelligence Engineer

Peterborough, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 14, 2026
Experience: 1–2 years of direct experience leading emerging technology or enterprise AI initiatives.
Posting language: English
Posted: Oct 15, 2026

Original job description

Role: Sr AI Engineer

Location: Toronto Downtown, ON - Hybrid (4 Days WFO)

Hiring Mode: 6-12 months Contract with possibility of extension

Key Responsibilities

AI Product Delivery: Lead and actively contribute to the development of AI products, pilots, and enterprise solutions with a focus on writing clean, maintainable code.
Architecture & Design: Design and architect scalable Generative AI solutions, including LLM pipelines, Agentic workflows, Model Context Protocol (MCP), Graph/RAG architectures, and complex prompt-based applications.
Cloud Infrastructure: Implement highly scalable, cloud-native solutions leveraging modern AWS services.
Optimization & Innovation: Optimize the performance of production AI products. Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and emerging toolchains.
Cross-Functional Collaboration: Partner closely with Product Managers, Data Scientists, and domain experts to translate business requirements into robust technical solutions.
Technical Leadership: Act as an organization-wide Subject Matter Expert (SME) on Gen AI technologies to help shape the company's long-term AI strategy and technical roadmap.
Project Ownership: Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban) to ensure reliable end-to-end product delivery.
Operations & Governance: Monitor operational metrics and incident data to improve system reliability. Ensure strict adherence to corporate governance and DevSecOps protocols.

Technical Expertise

• 10 + years of progressive engineering experience.

• 1–2 years of direct experience leading emerging technology or enterprise AI initiatives.

• Strong familiarity with the full Software Development Life Cycle (SDLC) best practices and DevSecOps protocols.

• Generative AI & LLMs: Core proficiency with commercial and open-source models (GPT, Claude, Gemini, LLaMA), advanced prompt engineering, and LLM fine-tuning techniques.

• AI Frameworks & Architectures: Deep hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.

• Databases & Orchestration: Proven experience with Vector and Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune), query optimization, and ETL orchestration using Apache Airflow/DAGs.

• Cloud & DevOps (AWS): Comprehensive knowledge of AWS infrastructure, including computation (EKS, Fargate, Lambda, EC2), networking/load balancing (ELB, GLB, NLB), data analytics (Athena, Glue, Lake Formation), and Infrastructure as Code (Terraform, Puppet, Docker).

• Full-Stack Development: Strong proficiency in Python (NumPy, Pandas, Matplotlib, Boto3) alongside modern web application development using Next.js, React, and TypeScript/JavaScript.

• Testing & Analytics: Familiarity with automated AI and web testing frameworks (Ragas, Playwright, Zephyr, Selenium) and Business Intelligence tools (QuickSight, Tableau).

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More about this job

Responsibilities

Lead the design, development, optimization, and delivery of scalable generative AI products and enterprise solutions using LLM pipelines, agentic workflows, and Graph/RAG architectures on AWS. Collaborate across product and technical teams, provide organization-wide AI expertise, manage delivery milestones, and uphold operational reliability, governance, and DevSecOps practices.

Requirements

Requires 10+ years of progressive engineering experience, including 1–2 years leading emerging technology or enterprise AI initiatives, and strong SDLC and DevSecOps knowledge. Candidates should have hands-on expertise in generative AI, AWS, AI frameworks and architectures, vector and graph databases, orchestration, Python, modern web development, and testing and analytics tools.

Skills

Generative AI
Large Language Models
Prompt Engineering
LLM Fine-Tuning
LangChain
LlamaIndex
Amazon Bedrock
Agentic AI
Model Context Protocol
Graph/RAG Architectures
AWS
Python
React
Next.js
TypeScript
Terraform

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
GPT
Claude
Gemini
LLaMA
Prompt Engineering
LLM Fine-Tuning
LangChain
LlamaIndex
Amazon Bedrock
Agentic AI
Model Context Protocol
Graph/RAG
AWS
EKS
Fargate
Lambda
EC2
Terraform
Docker
Python
React
Next.js
TypeScript
Weaviate
Milvus
PGVector
Neo4j
Apache Airflow

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