LA
Lavendo

Search Engineer, AI Infrastructure (SF/Toronto)

Toronto, Ontario
On-site
Full-time
$235K – $260K CAD
1 weeks ago
Apply Now
Employment type
Full-time · On-site
Posted
September 25, 2026
Salary range
$235,000–$260,000 CAD per year
Province
Ontario (ON)

Hiring confidence: Some gaps · 56/100

Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored

Job Overview

JobsAdzuna
This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
Job Description Job Description Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. About the Company Our client builds the data layer that AI agents run on. One API call turns any URL into clean, structured, LLM-ready data. It is already the default way a huge number of developers p…

This role is based in Ontario. Lavendo is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Search Engineer, AI Infrastructure (SF/Toronto) in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting advertises $235,000–$260,000.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • Experience with search or ranking systems
  • Strong foundation in computer science fundamentals
  • Experience building scalable infrastructure
  • Familiarity with AI/ML concepts
  • Ability to work in fast-paced startup environment

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Search algorithms
  • AI/Machine learning
  • Infrastructure engineering

Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.

Scan your resume to see your fit

Keep looking

Similar jobs

What you'll do

  • Design and optimize search algorithms for AI agents
  • Build and maintain data infrastructure
  • Develop efficient data processing pipelines
  • Work on API optimization for LLM-ready data transformation
  • Collaborate with AI and infrastructure teams
  • Scale systems to handle high developer usage

What you'll need

  • Experience with search or ranking systems
  • Strong foundation in computer science fundamentals
  • Experience building scalable infrastructure
  • Familiarity with AI/ML concepts
  • Ability to work in fast-paced startup environment

About the Company

LA

Lavendo

Transparent employer