fermi ai · Bangalore, India ·
Build and scale AI-first products from scratch as a founding engineer, owning architecture, reliability, and production-readiness for LLM-based applications in a fast-moving startup.
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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
• 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
Nice to Have
• 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
How We Work
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 Should Not Apply If
• You want remote/hybrid (this is onsite Bangalore only)
• You prefer narrow tickets and minimal ambiguity
• You prefer highly structured, slow-moving product organizations
The Recruiter for this role is Ritesh Kalvellu. Apply to the role directly, and he will get back to you if your profile is relevant to the hiring requirements.