Senior Software Engineer

Hiring Partner: Canvas Labs (on behalf of a Stealth Startup)

Location: Remote

Experience: 36 Years

Compensation: 24 30 LPA

We are Canvas Labs, and we're helping build the founding tech team for a stealth startup set to disrupt the Consumer AI space.

A bit about the team: ExIIT Delhi, with leadership experience across strategy and engineering at world-class firms. Now they're coming togetherAvengers-styleto build the next big category-defining product.

We can't tell you exactly what we're building yet (shhh), but we can tell you this: it's a mobile-first consumer product designed to bring Generative AI into daily life in a way that feels like magic, not tech.

We're looking for a Product Engineer who blends deep engineering fundamentals with sharp product sensesomeone who can ship fast, debug hard problems, and build systems that feel invisible to the user.

Most AI products today feel like tools. We want to build a companion.

That means the engineering has to be solid enough to handle real-world consumer scale, while the product experience feels effortless. Your job is to build the underlying product systemsAPIs, workflows, data, reliability, performancethat make the AI feel instant, intuitive, and trustworthy.

• Take features from idea scope build test deploy monitor
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• Own production quality: you don't vanish when things break
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• Build with the mindset of real users + real edge cases

• Write clean, maintainable, testable code
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• Add unit tests for core logic and prevent regressions
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• Debug effectively across app + APIs + integrations + production logs
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• Be strong at fundamentals even in an era of AI-assisted coding

• Design and build APIs, services, and data models that scale
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• Work comfortably with databases, caching, queues/background jobs
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• Make smart architectural calls: reliability, latency, performance, cost
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• Build guardrails: retries, rate limits, fallbacks, observability

• Understand the user problem before jumping into solutions
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• Turn ambiguity into clarity: ask sharp questions, define scope
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• Always think in user outcomes, not just feature delivery
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• Improve product experience by noticing friction and proposing fixes

• Know when to build fast vs build right
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• Avoid over-engineering when speed mattersand under-engineering when it will hurt later
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• Think clearly about trade-offs: third-party services, cost, and complexity

• 36 years building product systems in fast-moving environments
• You've shipped features that faced real users, real bugs, real scale

• Strong fundamentals: code quality, testing, debugging
• Solid understanding of system design basics: APIs, databases, architecture
• Comfortable with ambiguous requirements and moving targets
• Strong communication with founders/stakeholders (clarity > jargon)

• Experience with mobile-first consumer products (or working closely with mobile teams)
• Experience with event-driven systems / queues / background processing
• Familiarity with LLM/GenAI product patterns (trust, latency, streaming, memory, safety, feedback loops)
• Strong product instincts: you care deeply about UX outcomes even when writing backend code

• The Pedigree: Work alongside alumni from IIT Delhi and leaders with experience at top strategy/engineering organizations. This is a masterclass in execution.
• The Impact: You're not Employee #500. You're a founding engineer. Your decisions will shape the product's DNA.
• The Problem: Consumer AI is a new frontiermobile-first, real-time, trust-driven. Hard and exciting.
• The Compensation: 24 30 LPA for top talent who can truly own outcomes.

We know strong engineers are busy. We've designed a process that respects your time while still testing what matters.

Fill out the form and complete a short assignment.

Walk through your thinking. Expect debugging, trade-offs, and system design fundamentals.

Deep-dive on how you operate in 01 ambiguity, execution mindset, and product instincts.

Ready to build the future of Consumer AI Apply above.