CTO/Founding Engineer
CTO/Founding Engineer
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Job Description
About Us
Meraki Labs (founded by Mukesh Bansal & Peeyush Ranjan) builds and rapidly scales AI-first, moonshot startups. We're looking for a high-velocity, production-grade engineer to build 0-to-1 products alongside founders.
You treat AI IDEs as a force multiplier—but you own the architecture, quality, and production-readiness that AI can't.
What We're Looking For
Small team, high trust, written decisions. Designs get adversarial review before code; PRs get automated review driven to zero open findings; features aren't done until verified on a live system. AI agents do a large share of the implementation—your leverage is judgment: framing the problem, freezing the right design, and knowing when the machine is wrong.
You Should Apply If
Meraki Labs (founded by Mukesh Bansal & Peeyush Ranjan) builds and rapidly scales AI-first, moonshot startups. We're looking for a high-velocity, production-grade engineer to build 0-to-1 products alongside founders.
You treat AI IDEs as a force multiplier—but you own the architecture, quality, and production-readiness that AI can't.
What We're Looking For
- 10+ years of software engineering with real production ownership of distributed or stateful systems - you've been paged for something you built and made it not happen again
- Strong understanding of LLM-based native app building, combining classic and model-driven applications to get the best of both
- Built on LLMs beyond demos: agent frameworks, tool use, context management, eval fixtures; you know why it worked in the transcript isn't evidence
- Python and shell in production settings; comfortable in TypeScript/Node
- Write boring, testable code and prefer the standard library to a new dependency
- Systems taste: append-only logs, idempotent reconciliation, fold-the-events state machines, and read-only debugging surfaces feel like home
- Evidence discipline: tests before features, claims backed by quoted observations, decisions written down
- Experience running multi-tenant and single-tenant / on-prem-style fleets with per-customer isolation, upgrade paths, and migration compatibility
- Security instincts for products touching sensitive data (executives email, calendars, messages): least privilege, loopback-only services, secrets that never hit a log
- Already orchestrate AI coding agents in your workflow and have opinions about where they break
Small team, high trust, written decisions. Designs get adversarial review before code; PRs get automated review driven to zero open findings; features aren't done until verified on a live system. AI agents do a large share of the implementation—your leverage is judgment: framing the problem, freezing the right design, and knowing when the machine is wrong.
You Should Apply If
- You enjoy turning messy problems into concrete solutions
- You thrive in fast-moving, low-process environments
- You're excited about production engineering (monitoring, reliability, cost, latency)
- You want remote/hybrid (this is onsite Bangalore only)
- You prefer narrow tickets and minimal ambiguity
- You prefer highly structured, slow-moving product organizations
More Info
Key Skills
Append-only logs
Idempotent reconciliation
Eval fixtures
Stateful systems
Read-only debugging surfaces
Context management
Agent frameworks
LLM-based native app building
Shell
