Founding AI Engineer - Proofline

About this role

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.

About the role

[Proofline](https://www.google.com/url?q=http://aavishkar.ai/proofline&source=gmail&ust=1786050541429000&sa=E) is live in production with institutional pilots underway. This role owns the capability end-to-end, from ingestion to retrieval quality, connecting across multiple sources of information for research institutions and enterprise research teams.

Founding AI Engineer — Retrieval & Knowledge (RAG)

Location: HSR, Bengaluru (5 days, on-site)

Experience: 7+ years

Responsibilities

• Own the retrieval pipeline: document ingestion, chunking, embeddings, hybrid search, reranking.

• Build dual-corpus retrieval across published literature and private institutional documents, with provenance.

• Build citation and identifier resolution (DOI/arXiv-class) and large-corpus onboarding.

• Own retrieval evaluation: build the harness, set the metrics, prove improvement release over release.

Requirements

• ML/backend engineering with production RAG, search, or IR systems experience.

• Strong Python; hands-on with embeddings, vector stores, and rerankers; graph databases a plus.

• Demonstrated evaluation rigour: you can show how you measured and improved retrieval quality.

• Comfort with scientific or technical document corpora is a plus.

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 thr...