Chief Technology Officer - Proofline

Fermi AI; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Benefits offered by this job

On-site in Bengaluru

Competitive compensation

Performance incentives

Job summary

Meraki Labs in Bengaluru is seeking a high-velocity, production-grade engineer to build 0-to-1 AI-first products alongside founders. You own architecture, quality, and production readiness for AI-enabled software.

The role focuses on distributed/stateful systems and LLM-based native apps, with Python and shell in production and comfort with TypeScript/Node. Expect rigorous testing, adversarial design reviews, and substantial use of AI agents to implement features.

Qualifications

• 10+ years of software engineering with production ownership of distributed or stateful systems.
• Experience with LLM-based native app building.
• Proficiency in Python and shell; comfortable with 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.
• Evidence discipline: tests before features, claims backed by quoted observations, decisions written down.

Skills

10+ years software engineering

LLM-native app building

Python & shell production

TypeScript/Node

Testable code & standard library

Distributed/stateful systems

Evidence-based development

Tools

Python

TypeScript/Node

Shell

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—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