AI Engineer (35578)

Job summary

Design, build, and deploy production-grade AI, Machine Learning, and Agentic AI solutions to solve complex business challenges. Develop RAG pipelines, AI agents, and implement MLOps and LLMOps frameworks for enterprise deployment.

Job details

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. Develop RAG pipelines, AI agents, and implement MLOps and LLMOps frameworks for enterprise deployment.

Requirements

Requires a degree in Computer Science or a related field with 3-5+ years of AI development experience. Candidates must be proficient in Python and have a proven track record of deploying production AI/ML solutions using Docker and Kubernetes.

Listed skills

• Kubernetes · Preferred
• CI/CD · Preferred
• Docker · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• AI Agents
• Agentic Workflows
• Retrieval Augmented Generation
• LLMs
• SLMs
• MLOps
• LLMOps
• Docker
• Kubernetes
• CI/CD
• API Development
• LangGraph
• CrewAI
• Cloud AI Platforms
• AI Governance

Job areas

• Technology
• Software
• Engineering
• Data & Analytics
• Consulting