Responsibilities- Develop InstaLILY's AI platform and drive technical excellence throughout the organization
- Work closely with cross-functional teams (product, UI/UX, business development, growth) and key business stakeholders to design and implement new features and capabilities
- Lead technical discovery with enterprise customers and partner with the Growth team; translate complex real-world workflows into a shipped product
- Raise quality and reliability through comprehensive testing and CI/CD practices
- Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of continuous learning and improvement
- Collaborate with the product and design teams to deliver high-quality products that meet customer needs
- Stay up-to-date with the latest AI and software engineering trends and technologies
- Mentor junior engineers: pair on hard problems, review code thoughtfully, and help them level up
Requirements- Bachelor's in CS, engineering, math, physics, or related: demonstrated ability matters more than credential
- 1-3 years as a software engineer (strong candidates have shipped something with real users)
- Strong fluency in at least one backend language (Python, TypeScript, or similar) and a modern web stack
- Solid grasp of system design fundamentals (e.g., API design, data modeling, async patterns, caching, and queues)
- Entrepreneurial ownership: you've started or built something on your own initiative - a project, a product, a team - and can walk us through it
- Strong communication: you can explain what you built and why you built it that way to non-technical audiences
- Strong problem-solving and analytical thinking
- In-office availability: 5 days/week in our Toronto office for your first 6 months, then 4 days/week in person with 1 day remote
Please note that as part of our interview process, we typically expect candidates to travel to our New York City headquarters for the onsite interview. Please let us know if you require any accommodation or have any concerns.
Nice to Have- Production experience with cloud infrastructure (AWS, GCP, or Azure) and CI/CD pipelines
- AI-serious: you've built something with LLMs (a RAG system, an agent, a fine-tuned model, a real integration)
What You'll Get- Proven product: Customers are live; this isn't a bet on an unproven thesis
- AI-native: In how we build, how we work, and what we sell
- Stage: Early enough to shape how the company scales
- Global: Based in New York with offices in SF, London, and Toronto
- Culture: Sharp, low-ego team that keeps raising the bar
- Growth: The learning curve is steep
Compensation and Benefits- Salary Range: $90,000 - $110,000 CAD per year, commensurate with experience
- Equity: Generous stock options awards, and refreshers for top performers
- Benefits: Supplemental benefits, pension contribution, in-office lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and Ontario National Holidays, and more!
Quality Over QuantityTo ensure a focused, high-quality hiring experience, we kindly ask candidates to limit their applications to
3 open requisitions at any given time. Applying strategically to roles that best align with your skills and career goals gives you the highest chance of standing out. Have you interviewed with us in the past 12 months? We encourage you to reach out directly to your previous interviewer rather than submitting a new application.
