Website:
getsketch.ai
Job details:
SDE-2
Company: Canvas Labs (canvasx.ai)
Location: Remote
Remote Experience: 3–6 Years
Compensation: INR 24–30 LPA + ESOPs
THE SHORT STORY:
We're Canvas — a research and R&D lab building AI products. We started the day ChatGPT launched and have shipped more than 15 AI products since. Right now we're building Getsketch.ai, and that's where this role plugs in.
You'll shape the AI products we're building: Sketch and the next ones in the pipeline. This is the senior seat — you don't just ship features, you decide how they're built. Small team, fast loop, real architecture decisions in the room with you.
THE MISSION:
You'll own systems end-to-end — frontend, backend, and the AI underneath — and the product calls that come with them. The brief might be one line in Slack. Your job is to figure out what to build, architect it so it doesn't collapse at scale, ship it, then watch how people use it.
We're a startup, and we need a senior product engineer. Someone who holds the spec, the system design, and the code in their head at the same time. If you want a PM to hand you tickets, this isn't the role. If you'd rather specialize deep in one slice of the stack and stay there, it isn't either.
At this level we're also trusting you to raise the bar — the patterns you set, the reviews you give, the way the next three engineers learn to build.
WHAT YOU'LL DO (THE IMPACT):
Own the Architecture: Make the calls on how our systems are built — data models, service boundaries, the AI pipelines that power it all. Decisions that outlive the feature.
Find the Edge: Notice what's missing or broken in our products. Propose features, prototype them in a weekend, ship the ones that earn their keep.
Build the Intelligence: Go past "call the LLM API." Design RAG and agentic systems — retrieval, tool-calling, multi-step orchestration — that hold up on messy, real-world data.
Build the Interface: Develop responsive, interactive UIs in Next.js, React, and Tailwind that real customers depend on.
Power the Backend: Build and maintain Node.js + Fastify services that connect frontend to data and intelligence — and don't fall over under load.
Make the Call: When a spec is ambiguous, you decide. Talk to users, look at the data, and make the product call. We'll back you.
Set the Standard: Clean, maintainable, well-tested code across the stack — and the patterns the rest of the team builds on. Code another engineer can pick up six months later without a tour guide.
THE STACK:
Frontend: Next.js, React, TypeScript, Tailwind
Backend: Node.js, Fastify, REST/LLM APIs, MongoDB
AI: RAG, agents, tool-calling, vector DBs, LLM APIs (OpenAI, Claude, Gemini)
DevOps: Docker, AWS (Lambda, ECS), GitHub
Bonus: Python for AI/ML work — fine-tuning, GraphRAG, evals
WHO YOU ARE:
The Experience: 3–6 years building products end-to-end. You've owned real systems in production, not just contributed to them. Personal projects count if you actually shipped them.
The Foundation: Strong JavaScript/TypeScript, HTML/CSS, and modern JS frameworks. You reach for the right tool, not the familiar one.
The Backend Side: Comfortable architecting backend services and APIs — not just consuming them.
The AI Depth: You've shipped LLM features that work. RAG, agents, tool-calling, vector DBs. You know why your retrieval is bad and how to fix it.
The Taste: You notice when a product is bad. At the click, the copy, the empty state. You have opinions about what makes software feel good.
The Ownership: You can hold ambiguity, make the call, and stand behind what you ship. And you make the people around you better.
THE SELECTION PROCESS:
- Application: Fill out our application form with your details.
- Technical Conversation: A deep dive into what you've built — the calls you made, the trade-offs, how you think through a hard problem.
- Final Conversation: A discussion with the team on your process, your craft, and mutual fit.
WHY YOU SHOULD JOIN:
Your code ships into real AI products customers use, not internal experiments.
Full ownership, no layers between you and the decisions. Your calls shape the product and the architecture. Propose a feature in standup, ship it by Friday.
Set the technical direction for production AI tools end-to-end, from LLM integration to deployment.
Competitive compensation with meaningful ESOPs — real skin in the game.
Click on Apply to know more.