Enterprise AI Engineer — LLMs, Agent AI & MLOps
Myticas Consulting
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Job summary
Myticas Consulting is assisting a leading financial institution in Toronto to hire an AI Engineer to support a large enterprise AI transformation program. You will design, build, and deploy production-grade AI/ML solutions, deploy agentic AI workflows, and implement MLOps, CI/CD, and cloud deployment best practices.
Join a high-impact role focusing on governance, monitoring, and delivery best practices across an enterprise AI initiative.
Qualifications
- Degree in Computer Science, Software Engineering, Data Science, or related field.
- 3–5+ years of AI development, incl. 2+ years producing 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.
Responsibilities
- Design and implement production-grade AI and agentic AI solutions.
- Build AI agents, agentic workflows, and 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
Education
Tools
Job description
Myticas Consulting is assisting a leading financial institution in Toronto to hire an AI Engineer to support a large enterprise AI transformation program. You will design, build, and deploy production-grade AI/ML solutions, deploy agentic AI workflows, and implement MLOps, CI/CD, and cloud deployment best practices.
Join a high-impact role focusing on governance, monitoring, and delivery best practices across an enterprise AI initiative.
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