AI Engineer/FDE/Data Scientist
Posted Updated
Summary
Kiln AI, a well-funded Toronto AI startup founded by ex-Apple engineers, is hiring an AI Engineer/FDE/Data Scientist to build agentic AI systems and work directly with customers on its AI workbench (evals, fine-tuning, RAG). Remote work-from-home within the GTA; contract or full-time; Canadian work authorization required.
Compensation: $80k – $150k CAD • 0.0% – 0.5%
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 apply@kiln.tech or via this platform Learn about Kiln: - [Homepage](https://kiln.tech) - [Github](https://github.com/Kiln-AI/Kiln)