Ai Engineer
Myticas Consulting Inc.
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
#J-18808-Ljbffr
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
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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