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InstaLILY

Software Engineer II - Toronto

Toronto; TorontoCanada
Mid-level · Research and Development
POSTED 13 JUNVERIFIED 1D AGO
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Role
149 days opentrue age
Posted 13 Jun
Pay
CAD 151k–CAD 168kno pay posted
Market p25–p75
CAD 151k–CAD 168k
H-1B median · Software engineering
$80k
Toronto · n=6 · 365d to 4 Nov
CompanyInstaLILY →
21open roles
Opened · 30d
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Closed · 30d
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3d of snapshots · 30d window
Market
1,698open · Mid-level Software engineering
Opened · 7d
+1147% of open
All software engineering
75,147open
All tracked boards · live 10 Nov · n=1,698
Visa
11H-1B LCAs · FY26
Median wage
$80k
LCAs FY26 · n=11 · to 2026-05-13
TypeScriptPythonAWSGCPAzureLLMsDistributed systems

About InstaLILY

InstaLILY is an AI products and infrastructure company that puts execution at the frontier of enterprise AI. That work begins with Lily™, the world's first AI Forward Deployed Engineer, which learns how a business works, builds the software it needs, and goes live in days. 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. Founded in 2023 by Amit Shah and Sumantro Das, InstaLILY has raised nearly $100 million from Energize Capital, Insight Partners, and Home Depot Ventures. Headquartered in New York, with offices in San Francisco, London, and Toronto, InstaLILY serves leading companies across construction, industrial distribution, logistics, healthcare, and other operationally intensive industries. Learn more at https://instalily.ai/.

The Traction

Revenue grew 5x over the past year, and Lily has driven over $200M in new annual sales for a single customer. 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. Your code runs in live production systems inside billion-dollar operations, so you see your impact directly. People who do well here want that proximity to the work. We're growing fast, and the people who join now shape what this company becomes. Everything runs on three principles: Customers, Culture, and Code.

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

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
Source · InstaLILYFirst seen 2 NovOriginal ↗