Historical snapshotentry (0–5 yrs)Captured Oct 17, 2026, 4:30 a.m.

AI Engineer/FDE/Data Scientist

Kiln AI

Location
Toronto, ON, Canada · Remote
Compensation
$80k – $150k CAD • 0.0% – 0.5%
Employment
Full-time
Experience level
ENTRY (0–5 years exp)
Specialization
AI Engineer, Data Scientist
Source
Wellfound

Kiln AI is a well funded AI startup in Toronto. Founded by an ex-Apple AI team, we’re building the workbench for AI teams including evals, auto-research, fine-tuning, RAG, skills, agentic optimization, and much more. Learn more at kiln.tech

You’ll have the opportunity to:

  • Work closely with the founding team: senior ex-Apple team
  • Work with Kiln customers and users, building modern AI systems
  • Work with new AI technology and models as soon as it comes out

What successful candidates should have:

  • Be able to code with and without AI: we’re highly agentic, but expect the humans to bring critical thinking and experience.
  • Have experience building agentic systems or ML systems: some past projects in AI and/or data-science.
  • Willing to wear many hats. The role will mix FDE (forward deployed engineering), open-source AI development, closed-source development, analysis, writing technical content, and more. It’s a great role for someone who wants to move fast, be flexible, get lots of experience.
  • An education in software engineering, computer science, or similar.
  • Level: 0-5 years of experience in tech. We’re looking for the right candidate and are flexible on level of experience.
  • Compensation: will reflect the candidate's seniority/level, but competitive and opportunity for stock options if joining as employee.

The Role:

  • Format: Contract or full-time. We are open to both options.

  • Location:

    • Work from home.
    • Need to be based in GTA (Greater Toronto Area) for occasional customer/team meetings in Toronto.
    • Needs Canadian work authorization.
  • Travel: quarterly offsite meeting with team. Past locations have been Cancun Mexico and Montreal. May require travel to conferences in the future (<5 times/yr).

Applying:

  • Resumes are fine, but a short note about why you think you’re a fit goes a long way toward standing out.
  • Apply to [email protected] or via this platform

Learn about Kiln: