Full-Stack Product Engineer (Generative AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Full-Stack Product Engineer (Generative AI): Build products that put generative AI directly into the hands of creators, covering both frontend experiences and backend systems that serve millions, with an accent on shipping user-loved features in an evolving AI landscape. Focus on designing AI-core user experiences, integrating ML models into production, and delivering scalable, well-structured APIs and data models.
Location: Toronto (On-site)
Company
builds proprietary generative media models and AI-native creative workflows for graphic design.
What you will do
- Develop full-stack product features that make generative AI core to the creator experience.
- Craft user-facing experiences and optimize backend systems serving large-scale usage.
- Design APIs and data models that support evolving product needs.
- Use AI-native engineering tools to accelerate development, debugging, and codebase understanding.
- Integrate ML models into production (inference, prompt engineering, and fine-tuning workflows).
- Ship incremental value, iterate from real user feedback, and handle ambiguity to deliver outcomes.
Requirements
- Experience building and shipping full-stack applications with real user impact.
- Comfort working across frontend and backend systems.
- Strong product intuition: solve user problems first, then architect solutions.
- Deep curiosity and genuine excitement about generative AI and its potential for creators.
- Ability to navigate ambiguity and turn open-ended problems into shipped features.
- Bachelorβs degree in Computer Science/Engineering or equivalent practical experience.
Culture & Benefits
- On-site role in Toronto HQ near Union Station with daily in-office lunches and dinners.
- 4 weeks of vacation.
- Comprehensive health, vision, and dental coverage starting on day one.
- RRSP/401(k) with employer match up to 4%.
- Top-of-the-line tools and tech, plus autonomy to explore and run large-scale experiments.
- Mentorship and a culture of learning and growth.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β