Gen AI & Data Engineer

Read this before Applying(Who We Do NOT Need)

To save everyone's time, do not apply if:

• Your idea of Gen AI is limited to plugging an OpenAI API key into a Jupyter Notebook
• You approach web scraping using only basic tools like BeautifulSoup without handling real-world challenges such as IP blocking or dynamic content
• You are not familiar with concepts like RAG, token economics, MCP, or vector databases
• You rely on a Product Manager to define tasks instead of independently owning and executing work

About Quickeee

Quickeee is a fast-growing Mumbai-based startup transforming the fast fashion space with 60-minute delivery and an AI-powered styling experience. We are building a premium, technology-first platform that combines speed, personalization, and design excellence.

To power our AI concierge and proprietary catalog systems, we are looking for a Gen AI & Data Engineer to build and scale our core AI infrastructure.

Role Overview

We need a Gen AI & Data Engineer with 23 years of backend experience, including 1+ year of hardcore, production - grade Gen AI experience. You will own our AI features and data pipelines, working directly with the technical founder to build our "Luxury Concierge" and integrate it via FastAPI into our NestJS ecosystem.

What You Will Do

AI Systems & Agentic Workflows

Build and deploy agent-based workflows using LangChain / LangGraph

Develop a context-aware AI concierge for personalized shopping

Data & Scraping Infrastructure

Build robust scraping pipelines using Playwright / Scrapy

Extract, clean, and structure large-scale catalog data

RAG & Vector Systems

Implement RAG pipelines connected to live inventory

Work with vector databases such as Pinecone or Milvus

Optimization & Performance

Optimize prompts, latency, and token usage

Implement caching and efficient model routing

Image & Data Processing

Build pipelines for image preprocessing using OpenCV

Prepare data for multimodal (vision + text) models

Backend Integration

Develop microservices using FastAPI

Integrate AI systems with core backend architecture

Requirements

23 years of experience in Python backend development

1+ year of experience working with LLMs in production

Strong knowledge of FastAPI and API design

Experience with LangChain, LlamaIndex, or similar frameworks

Familiarity with OpenAI / Gemini APIs

Experience working with vector databases

Strong understanding of web scraping and data extraction

Good understanding of system design and scalability

What Were Looking For

Strong builder mindset with high ownership

Ability to work independently and ship fast

Clear understanding of trade-offs (cost, latency, quality)

Practical approach to solving real-world problems

Comfort working in a fast-paced startup environment

Benefits & Perks

Competitive salary with startup equity

Direct ownership of core AI systems and architecture

Work on real-world Gen AI systems, not just prototypes

High-impact role with minimal hierarchy and fast execution

Flexible working hours

Opportunity to work closely with founders and core tech team

Why Join Quickeee?

Build at the intersection of AI, commerce, and design

Solve real-world problems at scale

High ownership and rapid growth environment

Opportunity to shape core technology from day one