AI Engineer

Myticas Consulting; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Unknown Client in Toronto is seeking an AI Engineer to support a major enterprise AI transformation program. The role focuses on designing, building, and deploying production-grade AI, ML, and Agentic AI solutions to tackle complex business challenges in an enterprise setting.

Responsibilities include creating AI agents, agentic workflows, RAG pipelines, ML pipelines with LLMs/SLMs, and implementing MLOps, LLMOps, CI/CD, and cloud deployment best practices.

Qualifications

• Degree in Computer Science, Software Engineering, Data Science, or a related field.

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.

Skills

Python development

AI/ML development

Agentic AI

CI/CD

Docker/Kubernetes

API integration

Education

Degree in Computer Science, Software Engineering, Data Science, or related field

Tools

LangGraph

CrewAI

LLMs/SLMs

APIs

Cloud AI Platforms

Job description

Our client, a leading financial institution in Toronto, is seeking anAI 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