Open jobs near Richmond Hill

Within 25 km of Richmond Hill

Added 28 days ago
Technical Consultant III (Software Engineer, Senior/Lead)
Myticas Consulting
Toronto, ON
Added 28 days ago
Product & Pricing Architect
Myticas Consulting
Toronto, ON
Added 28 days ago
Cloud Platform Engineer – Kubernetes
Myticas Consulting
Toronto, ON
Added 28 days ago
SOLUTION ARCHITECT / TECHNICAL ARCHITECT
Myticas Consulting
Toronto, ON
Added 28 days ago
Product & Pricing Consultant III (Senior)
Myticas Consulting
Toronto, ON
Added 28 days ago
Product & Pricing Consultant II (Intermediate)
Myticas Consulting
Toronto, ON
Added 28 days ago
Cloud Platform Engineer – Terraform & Database Infrastructure
Myticas Consulting
Toronto, ON
Added 28 days ago
Senior Data Engineer / Azure Data Factory Developer
Myticas Consulting
Toronto, ON
Added 28 days ago
IBM ISAM Developer / Administrator
Myticas Consulting
Toronto, ON
Added 28 days ago
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Myticas Consulting
Toronto, ON
Added 28 days ago
Senior Business Analyst, Wealth and Brokerage Accounting
Myticas Consulting
Toronto, ON
Added 28 days ago
AI Engineer
Myticas Consulting
Toronto, ON
Added 28 days ago
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Myticas Consulting
Toronto, ON
Added 28 days ago
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Myticas Consulting
Toronto, ON
Added 28 days ago
SAP Solution Architect – Integrated Toolchain
Myticas Consulting
Toronto, ON
Added 28 days ago
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Myticas Consulting
Toronto, ON
Added 28 days ago
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Myticas Consulting
Toronto, ON
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Myticas Consulting
Toronto, ON
Added 28 days ago
Lead Cloud Operations Engineer – Azure & Kubernetes
Myticas Consulting
Toronto, ON
Added 28 days ago
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Myticas Consulting
Toronto, ON
Added 28 days ago
Principal Banking Cloud Architect | Client Partner | Technology Consulting
Myticas Consulting
Toronto, ON
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Myticas Consulting
Toronto, ON
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Myticas Consulting
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Myticas Consulting
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Myticas Consulting

AI Engineer

Toronto, ON, Canada

Contract

Within 25 km of Richmond Hill · About 18.6 km from the city centre

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Job details

Job type: Contract
Apply by: Oct 29, 2027
Experience: 3–5+ years of AI development experience, including at least 2 years building production AI/ML or Agentic AI solutions.
Posted: Jul 28, 2026

Original job description

Our client, a leading financial institution in Toronto, is seeking an AI Engineer to support a large enterprise AI transformation program. The successful candidates will design, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions that address complex business challenges in an enterprise environment.

Responsibilities

Design and implement production-grade AI and Agentic AI solutions.
Build AI agents, agentic workflows, and Retrieval Augmented Generation (RAG) pipelines.
Develop AI/ML pipelines using LLMs and SLMs.
Implement MLOps, LLMOps, CI/CD, and cloud deployment best practices.
Build AI governance, monitoring, observability, and evaluation frameworks.
Contribute to AI standards, accelerators, and delivery best practices.

Required Qualifications

Degree in Computer Science, Software Engineering, Data Science, or a related field.
3–5+ years of AI development experience, including at least 2 years building production AI/ML or Agentic AI solutions.
Strong Python development skills.
Experience building and deploying AI agents and AI/ML solutions.
Experience with Docker, Kubernetes, CI/CD, and version control.
Experience with API integration and development.
Consulting or professional services experience preferred.

Technical Environment

Python
LangGraph
CrewAI
LLMs / SLMs
Retrieval Augmented Generation (RAG)
MLOps / LLMOps
Docker
Kubernetes
CI/CD
AI Gateways (MCP, A2A)
API Development
Cloud AI Platforms

Apply on myticas.com About employer

More about this job

Responsibilities

The AI Engineer at Myticas Consulting will design and deploy production AI and agentic AI solutions for a bank. The work includes building AI agents, retrieval pipelines, monitoring and governance frameworks.

Requirements

Candidates need a computer science, software engineering or data science degree, strong Python skills, and hands-on experience deploying AI agents and ML systems. Docker, Kubernetes, CI/CD and API development experience are also required.

Skills

Python
LangGraph
CrewAI
Large language models
Small language models
Retrieval Augmented Generation
AI agents
Agentic workflows
MLOps
LLMOps
Docker
Kubernetes
CI/CD
Version control
API integration
API development
Model Context Protocol (MCP)
Agent-to-Agent (A2A)
AI governance
Model monitoring
Observability
Model evaluation
Cloud AI platforms
Machine learning pipelines
Consulting

Keywords

AI Engineer
Agentic AI
Machine Learning
Python
LangGraph
CrewAI
LLM
SLM
Retrieval Augmented Generation
RAG
MLOps
LLMOps
Docker
Kubernetes
CI/CD
MCP
A2A
AI Gateway
API development
Cloud AI platform

Tools

Python
LangGraph
CrewAI
Docker
Kubernetes

Languages

English

Seniority

Mid level

Fields of study

Computer Science
Software Engineering
Data Science

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