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
Pay: ₹800,000.00 per year
Benefits:
- Leave encashment
- Paid sick time
- Paid time off
- Provident Fund
Work Location: In person
