Jobs in Vaughan

Newest first

Within 25 km of Vaughan

Added 21 days ago
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Added 21 days ago
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Added 21 days ago
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Toronto, ON
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Toronto, ON
Added 21 days ago
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RETAILORS
Toronto, ON
Added 21 days ago
Sr AI Engineer
Envision Technology Solutions
Toronto, ON

Envision Technology Solutions

Sr AI Engineer

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 13, 2026
Experience: 1–2 years of direct experience leading emerging technology or enterprise AI initiatives.
Posted: Oct 14, 2026

Original job description

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.

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.

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More about this job

Responsibilities

Lead and contribute to the development of AI products, pilots, and enterprise solutions, while designing scalable Generative AI architectures and cloud-native solutions on AWS. Optimize production AI products and drive experimentation with emerging AI methods, frameworks, APIs, and tools.

Requirements

Requires 10 or more years of progressive engineering experience and 1–2 years of direct experience leading emerging technology or enterprise AI initiatives. Candidates should have strong SDLC and DevSecOps knowledge, proficiency with commercial and open-source LLMs and advanced prompt engineering, and hands-on experience with LangChain, LlamaIndex, Amazon Bedrock, Agentic AI, MCP, and Graph/RAG architectures.

Skills

Generative AI
Large Language Models
Prompt Engineering
LLM Fine-Tuning
LangChain
LlamaIndex
Amazon Bedrock
Agentic AI
Model Context Protocol
Graph/RAG Architectures
AWS
Cloud-Native Solutions
DevSecOps
AI Product Development
Scalable System Architecture

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 Workflows
Agentic AI
Model Context Protocol
MCP
Graph/RAG Architectures
AWS
Cloud-Native Solutions
SDLC
DevSecOps
AI Product Delivery
Enterprise AI
Scalable Architecture
Production Optimization
AI Pilots
Open-Source Models
Commercial Models
Emerging AI Toolchains

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