About Us

TruthIn, by NatFirst, is India’s leading product intelligence platform transforming how consumers make informed product choices. With over 1.2M+ users, the platform simplifies complex product information by decoding ingredient labels from food, cosmetics, and personal care products. By combining data engineering, machine learning, and rule-based systems, TruthIn interprets product labels to deliver actionable insights on ingredient function, nutrition, safety, and regulatory status. Powering a robust mobile app backend, the platform converts complex label data into clear, data-backed insights that empower consumers to choose better and live smarter.

Role Overview

As a Backend Engineer, you will design and build scalable, data-driven systems across:

• Backend & APIs
• Data pipelines & knowledge graphs
• ML integration
• Search & distributed systems

You’ll work hands-on, own architecture, and collaborate with data scientists to transform complex product data into intelligent insights.

What You Will Do

• Build REST APIs with Python, Django & DRF for mobile apps
• Design scalable data models and backend architecture
• Process and structure large datasets: ingredients, formulations, nutrition, regulations
• Integrate ML models (classification, NLP, scoring) into production pipelines
• Develop search & indexing systems using OpenSearch/Elasticsearch
• Work with AWS, Redis, Kafka, and async pipelines for scalable distributed systems

Required Skills

• 4+ years Python development; strong Django & DRF expertise
• Production-grade REST API design and backend scalability
• Relational DB modeling (MySQL/PostgreSQL) & query optimization
• Building data pipelines, working with structured/semi-structured data
• Search systems experience (Elasticsearch/OpenSearch)
• Familiarity with ML integration, pandas, scikit-learn
• Experience with AWS, Redis, message queues, async processing

Bonus: Knowledge graphs, AI/LLM integration, high-scale APIs, nutrition/cosmetics/healthcare data

Why Join Us

• Build a large knowledge platform combining data science, domain knowledge, and backend systems
• Work on an intelligent ingredient interpretation engine impacting consumer choices
• Fast-moving, collaborative environment focused on system-level thinking and maintainable architecture