Senior Data & AI Engineer - LLM & MLOps for Enterprise

ODAIA; Toronto; On-site; CAD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive Total Rewards Program

Flexible benefits

Coaching and development opportunities

Job summary

A major financial institution in Toronto is seeking a Staff Data/AI Engineer to design and implement AI solutions across Personal and Commercial Banking. The role involves building advanced data pipelines, implementing automation, and developing LLM applications. Ideal candidates should possess a Bachelor's in Computer Science, solid programming skills, and over 5 years of relevant experience in AI engineering. The company offers competitive compensation, a focus on development, and the chance to make a global impact.

Qualifications

• 5+ years of experience in data, software, ML, or AI engineering.
• Proficiency in writing clean, maintainable code with strong engineering fundamentals.
• Experience with LLM applications, RAG pipelines, or agent-based workflows.
• Understanding of data modeling, distributed systems, storage optimization.
• Solid grasp of the ML data lifecycle, including deployment support and monitoring.
• Excellent collaboration and communication skills.

Responsibilities

• Build and maintain scalable data pipelines for AI workflows.
• Implement DataOps and MLOps automation including CI/CD pipelines.
• Develop AI services like LLM-powered APIs in secure environments.
• Design and optimize data models and storage patterns.
• Write production-quality code and conduct code reviews.

Skills

Big Data Management

Cloud Computing

Database Development

Data Mining

Data Warehousing

ETL Processing

Group Problem Solving

Quality Management

Requirements Analysis

Education

Bachelor’s degree in Computer Science, Software Engineering, or related field

Tools

Python

Java

SQL

Spark

Job description

A major financial institution in Toronto is seeking a Staff Data/AI Engineer to design and implement AI solutions across Personal and Commercial Banking. The role involves building advanced data pipelines, implementing automation, and developing LLM applications. Ideal candidates should possess a Bachelor's in Computer Science, solid programming skills, and over 5 years of relevant experience in AI engineering. The company offers competitive compensation, a focus on development, and the chance to make a global impact.