AI Engineer (35578)
Design, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions to solve complex business challenges. This includes developing RAG pipelines, AI agents, and implementing MLOps and governance frameworks.
- On-site
- Toronto, ON
- Posted Aug 26, 2026
- Apply by Sep 25, 2026
- 1 position
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Job summary
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 ,
What you’ll do
Design, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions to solve complex business challenges. This includes developing RAG pipelines, AI agents, and implementing MLOps and governance frameworks.
Requirements
Requires a degree in Computer Science or a related field with 3-5+ years of AI development experience, including at least 2 years in production AI/ML. Proficiency in Python, Docker, Kubernetes, and API integration is essential.
Listed skills
- KubernetesPreferred
- CI/CDPreferred
- DockerPreferred
- Machine learningPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- LangGraph
- CrewAI
- LLMs
- SLMs
- Retrieval Augmented Generation
- MLOps
- LLMOps
- Docker
- Kubernetes
- CI/CD
- API Development
- Agentic AI
- Machine Learning
- AI Governance
- Cloud AI Platforms
Job areas
- Technology
- Software
- Engineering
- Data & Analytics
- Consulting
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 2+ years
- Apply by
- Sep 25, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level