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

Requirements

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 solid analytical grounding
- Certification in AI, prompt engineering, or automation tools is a plus — not a requirement

📌 AI Engineer (Chandigarh)
🏢 Re'equil India Private
📍 Chandigarh