InstaLILY
Software Engineer II - Toronto
Toronto · Mid
Sponsorship not specified$90k-$110kDetected 2 days ago
TypeScriptPythonAWSGCPAzureCloud PlatformsCI/CDAPI DevelopmentLLMsRAGBusiness DevelopmentLogisticsCommunicationProblem Solving
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odds of building a lasting career here
50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
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About the role
- About InstaLILY InstaLILY is an AI products and infrastructure company that puts execution at the frontier of enterprise AI.
- It does not leave when the work ships; it stays and keeps the software working as the business changes.
- Lily runs wherever the work happens, in the cloud, on-premise, or at the edge, through InstaLILY's Small Data Center, built with NVIDIA technology.
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
- Collaborate with the product and design teams to deliver high-quality products that meet customer needs
- Solid grasp of system design fundamentals (e.g., API design, data modeling, async patterns, caching, and queues)
- AI-native: In how we build, how we work, and what we sell
Requirements
- 1-3 years as a software engineer (strong candidates have shipped something with real users)
- Bachelor's in CS, engineering, math, physics, or related: demonstrated ability matters more than credential
- Strong communication: you can explain what you built and why you built it that way to non-technical audiences
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)
- this isn't a bet on an unproven thesis
- 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
Compensation
- $90,000 - $110,000 CAD per year, commensurate with experience
Benefits
- Supplemental benefits, pension contribution, in-office lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and Ontario National Holidays, and more!
Company info
- We serve some of the largest operators in our industries, including SRS Distribution (part of The Home Depot family), United Rentals, and Henry Schein, and we work closely with the Google DeepMind and NVIDIA ecosystems.
- How We Work We work in small teams with real ownership: clear problems, direct access to the customers whose work you're changing, and room to ship.
- Everything runs on three principles: Customers, Culture, and Code.
- Lead technical discovery with enterprise customers and partner with the Growth team
- Lead technical discovery with enterprise customers and partner with the Growth team; translate complex real-world workflows into a shipped product
- Proven product: Customers are live; this isn't a bet on an unproven thesis
Equal opportunity
- If you require an accommodation, please let us know, and we will work with you to meet your needs.
Visa & Work Authorization
- If you'd like to opt out, please contact our recruiting team ( lily.hiring@instalily.ai ).
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This listing is sourced directly from InstaLILY's careers page and normalized into a canonical job model.