Senior ML Engineer: LLM Retrieval & Agentic Workflows

Klue; Toronto; Hybrid; CAD 120,000 - 150,000; Full time

Job summary

A leading SaaS company in Toronto is hiring a Senior Machine Learning Engineer to lead the design and development of LLM-powered search and retrieval systems. The role encompasses architecting retrieval pipelines, mentoring team members, and driving experimentation for enhanced retrieval effectiveness. Candidates should have over 5 years of experience in ML systems with strong Python skills. This position offers a hybrid working model and competitive salary.

Benefits

Competitive base salary

Extended health & dental benefits

Opportunity for employee stock options

Flexible time off policy

Qualifications

• Collaborate cross-functionally with product and infrastructure teams to align technical direction.
• Drive experimentation with query rewriting and classification to enhance retrieval effectiveness.
• Optimize LLM workflows by designing prompt structures and caching mechanisms.

Responsibilities

• Architect, design, and implement retrieval pipelines and workflows.
• Lead the development of evaluation frameworks to measure and improve relevance.
• Own data strategy for retrieval and design pipelines to extract insights.

Skills

Expert-level programming skills in Python

Deep understanding of information retrieval

Experience with LLMs and agentic reasoning

Mentoring and providing technical guidance

Ability to lead projects independently

Education

5+ years of industry experience building ML systems

Tools

PyTorch

TensorFlow

Elasticsearch

Docker

Kubernetes

Job description

A leading SaaS company in Toronto is hiring a Senior Machine Learning Engineer to lead the design and development of LLM-powered search and retrieval systems. The role encompasses architecting retrieval pipelines, mentoring team members, and driving experimentation for enhanced retrieval effectiveness. Candidates should have over 5 years of experience in ML systems with strong Python skills. This position offers a hybrid working model and competitive salary.