Job Description:

About the Role

You will design and build the entire Evernine Brands data platform — the ingestion pipelines, schema normalisation engine, and API surface that the Flutter frontend and AI systems consume. You will work directly with the founder, alongside the Frontend Lead and a dedicated AI/ML Lead who owns the intelligence and prescription layer.

This is a pure data and API engineering role. You own the reliability, scalability, and correctness of the data platform. The AI/ML Lead takes clean, well-structured data from there and builds the intelligence layer on top.

Key Responsibilities
Data ingestion pipelines: CSV parsing, validation, and normalisation across 13 ad platforms (Meta, Google, YouTube, LinkedIn, Flipkart, Truecaller, AdMob, and more) into a unified schema
Unified schema engine: Core data model — platform | date | campaign | adid | creativetype | headline | body_copy | spend | ROAS | CTR | India+ fields — with intelligent field mapping and type coercion
Cross-zone data joins: Linking paid ads data with owned content, social,



and retail media signals using shared keys (adid, landingpageurl, assetid) — producing clean, joined datasets for the AI/ML Lead to consume
REST API: FastAPI endpoints consumed by the Flutter frontend — authentication, data sync, platform settings, and structured data delivery
Background jobs: Async pipeline workers for CSV processing and URL crawling using Celery or ARQ
Database architecture: PostgreSQL schema design, indexing strategy, and migration management with Alembic
Infrastructure: Containerised deployment ensuring the data platform is observable, reliable, and scalable

How You Will Work With the AI Lead

The AI/ML Lead owns the intelligence layer — embeddings, vector search, LLM orchestration, and content prescriptions. Your job is to ensure they always have clean, well-structured, fully-joined data to work with. The interface between your roles is a set of well-defined Postgres

📌 Backend Lead Delhi
🏢 Mancraft Consulting
📍 Delhi