Re'equil India Private Limited Jobs

AI Engineer

Re'equil India Private Limited

AI Engineer

Posted 8 Days Ago

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Chandigarh, IND

In-Office

Junior

Beauty • eCommerce

The Role

Build and own a modular AI intelligence platform that transforms validated business data into actionable insights. Responsibilities include integrating LLM APIs, implementing RAG, defining data requirements, building R&D and marketing intelligence modules, evaluating output quality, reducing hallucinations, monitoring pipelines, optimizing API costs, and documenting architecture and workflows. The role also involves developing content generation, social listening, trend analysis, performance marketing, and internal dashboard capabilities.

Summary Generated by Built In

Role Overview

We are looking for an AI Engineer to build and own our intelligence platform. You will take clean, structured data delivered by the Data Analyst and build AI-powered modules that deliver actionable insights to R&D, Marketing, and other departments. Your primary ownership is from data input to insight output — designing the AI architecture, building department-specific modules, and ensuring that every output is accurate, grounded, and genuinely useful for business decisions

What You Will Do

AI Platform Architecture

· Design and build a modular AI platform with department-specific intelligence branches (R&D, Marketing, Supply Chain, etc.)

· Select and integrate LLM APIs (Claude, GPT-4, Gemini) based on use case requirements

· Implement RAG (Retrieval Augmented Generation) to ground all outputs in actual business data

Data Input Specification

· Define exact input requirements for each AI module — fields, format, quality standards, and update frequency

· Collaborate with the Data Analyst to ensure data arriving in the AI layer is reliable and complete

· Build validation checks to catch bad data before it enters the AI pipeline

Department Intelligence Modules

· R&D Module: Build the White Space Finder — analyzes competitor product data to surface market gaps and new product opportunities

· Marketing Module: Build the Keyword Intelligence tool — interprets trend data and recommends digital marketing strategy

· Extend the platform to other departments over time as the business scales

Output Quality & Accuracy

· Own the quality, reliability, and accuracy of all AI-generated insights

· Build evaluation mechanisms to detect hallucinations, vague outputs, or low-quality responses

· Continuously improve prompt engineering and model configurations based on feedback

Maintenance & Documentation

· Monitor pipelines for failures and degraded output quality

· Manage API usage and optimize costs across all modules

· Document all workflows, prompt strategies, and architectural decisions for future team scaling

What You Will Build

• A fully integrated AI content engine — generation, iteration, and quality control in one system

• Automated social listening and trend analysis pipelines relevant to personal care

• Performance marketing agents that flag fatigue, suggest variations, and reduce manual optimisation

• Internal dashboards for real-time insights across sales, content, and marketing performance

• A living AI tool map — what we use, why, how, and what it costs

• A repeatable process for how we evaluate and onboard any new AI tool going forward

Tools and Skills

• Python — Must Have

• LLM APIs (Claude, OpenAI, Gemini) — Must Have

• LangChain, LlamaIndex, or similar AI frameworks — Must Have

• RAG & Vector Databases (Pinecone, Chroma, FAISS) — Must Have

• Prompt Engineering — Must Have

• Git / GitHub — Must Have

• pandas, JSON, SQL basics — Must Have

• Building data scraping pipelines — Added Advantage

Qualifications

• 2–3 years in a technology, product, growth, AI, or startup role — internships and independent projects count

• Graduate in Engineering, Computer Science, Business, or any discipline with strong analytical grounding

• Certification in AI, prompt engineering, or automation tools is a plus — not a requirement

RequirementsQualifications

• 2–3 years in a technology, product, growth, AI, or startup role — internships and independent projects count

• Graduate in Engineering, Computer Science, Business, or any discipline with strong analytical grounding

• Certification in AI, prompt engineering, or automation tools is a plus — not a requirement

Skills Required

Python proficiency
Experience with LLM APIs such as Claude, OpenAI, or Gemini
Experience with LangChain, LlamaIndex, or similar AI frameworks
Experience with RAG and vector databases such as Pinecone, Chroma, or FAISS
Prompt engineering experience
Git and GitHub experience
Knowledge of pandas, JSON, and basic SQL
2–3 years of experience in a technology, product, growth, AI, or startup role; internships and independent projects count
Graduate degree in Engineering, Computer Science, Business, or another discipline with strong analytical grounding
Data scraping pipeline development experience
Certification in AI, prompt engineering, or automation tools

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The Company

What We Do

Re’equil is an Indian direct-to-consumer cosmeceutical and personal-care brand founded in 2018. Its skincare and haircare products are formulated by scientists and evaluated by dermatologists, with a focus on clinically tested, effective solutions for different skin types. The company aims to offer honest products that deliver on their claims while helping consumers maintain healthier skin and hair through an online direct-to-consumer model.