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 2–3 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

• 2–3 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 We're 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

Gen AI & Data Engineer

Machine Learning Engineer - Gen AI