Artificial Intelligence Engineer

About Meraki Labs:

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.

What You Will Build

• Recommendation & personalisation — reader memory, preference signals, adaptive discovery

• Retrieval-augmented Q&A — ingest, chunk, embed, re-rank content for grounded answers

• Comprehension & annotation intelligence — auto-summaries, key-passage extraction, smart highlights

• Content understanding pipelines — covers, diagrams, multi-format ingestion (bonus: voice/audio)

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

End-to-End Ownership

• Drive features from rough PRD through implementation, deployment, monitoring, and iteration

• Collaborate closely with product and design to translate reading goals into AI behaviour

What We Are Looking For

Core Engineering

• 5 to 10 years of strong Python fundamentals; clean code and pragmatic hacking when needed

• Comfortable building services with FastAPI / Flask, writing APIs, and debugging production issues

• Practical understanding of Docker, local dev workflows, and basic deployment concepts

• Solid CS foundations — data structures, systems thinking, debugging

AI Engineering Readiness

• 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

• You have built something real

• Familiarity with book/content metadata, EPUB/PDF parsing, or semantic search is a strong plus

Proof of Work

• CS background preferred, or equivalent demonstrated capability

• Strong signal from top engineering programmes in India or an equivalent track record — exceptional projects, OSS, or internships that clearly show you can perform

How You Work

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

This is not for you If…

• 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.