AI Engineer

Meraki Labs is a startup incubation centre founded by Mukesh Bansal — the builder behind Myntra, Curefit, and Nurix AI. We identify breakthrough ideas across technology, health, commerce, education, and AI, and build them into companies from the ground up.

Our engineering foundation is led by Peeyush Ranjan — formerly VP at Google, VP of Engineering at Airbnb, and CTO at Flipkart — bringing world-class product and technical depth to every venture we back.

Role Overview

We’re hiring an AI Engineer who is a problem-solver first: someone who can ship, debug, and iterate fast. You’ll help build the core AI workflows powering our products and harden them into production-grade, scalable, observable systems.

This role is intentionally not for everyone. If you want a tight scope, predictable tasks, or “only research / only backend,” this won’t fit. If you like building real systems end-to-end and seeing your work hit production quickly, you’ll love it.

Production Engineering

• Latency & cost optimisation — caching, batching, streaming, fallbacks
• Observability — traces, logs, metrics, prompt and version tracking
• Reliability & safety — guardrails, refusal behaviour, age-appropriate content policy

• Drive features from rough PRD through implementation, deployment, monitoring, and iteration
• Collaborate closely with product and design to translate reading goals into AI behaviour

• 5 to 10 years of strong Python, Java, or Node.js etc fundamentals and using LLMs to generate code and ship things fast
• Comfortable building services with FastAPI / Flask, writing APIs, and debugging production issues
• Practical understanding of Docker, local dev workflows, and basic deployment concepts
• Hands-on experience with at least one of: OpenAI SDK (or similar), LangChain, Haystack, or a comparable LLM framework
• You understand the practical difference between prompting, tooling, retrieval, agents, and evals
• Familiarity with book/content metadata, EPUB/PDF parsing, or semantic search is a strong plus

You will thrive here if you:

• Default to ownership — you do not wait to be told every step
• Move fast without being sloppy
• Enjoy ambiguity and turn it into clear execution
• Treat quality as an engineering problem: tests, evals, instrumentation, iteration

• You want remote/hybrid (this is onsite Bangalore only).
• You prefer narrow tickets and minimal ambiguity.
• You’re not excited about production engineering (monitoring, reliability, cost, latency).
• You’re mainly looking for a “research-only” role.