👋 Welcome to your Hiring Quest for an automation-first company using LLMs, cloud APIs, and smart bots to power customer experience. .

We're looking for a No-Code/Low-Code Developer to join us on a 2–3 month contract full time  (with possible extension), working in a hybrid setup — partially onsite in Sheraton and partially remote. You’ll help us build smart product discovery tools powered by AI and automated workflows.

🕓 Start Date: Immediate

💰 Salary: 200 GBP/month

🛠️ How Hiring Quest Works

1. Register for the quest

2. After the registration period, you’ll receive an email with:
    • Company info
    • More Details about the task 

3. Complete the task and submit before the deadline

4. Top 3 submissions are invited to a review session:
    • 1 gets hired
    • 2 are shortlisted for future roles

🔍 Who We're Looking For

✅ 0–2 years experience in building automation workflows using platforms like n8n, Make.com, Zapier, or similar
✅ Basic understanding of APIs, webhooks, and JSON structures
✅ Willingness to learn and work with LLMs (OpenAI, Claude, etc.) via API
✅ Familiar with cloud platforms like Supabase, Firebase, or Airtable
✅ Good communication skills and attention to detail
✅ Bonus: Experience with chatbot tools or prompt engineering
✅ Bonus: Has built personal or freelance automation projects

💡 Don’t have enough experience? No problem!
Code Quests is here to help you learn and grow. We’ve curated beginner-friendly resources to help you get started with the tools you'll use in this quest.

✅ Just focus on learning, building, and showing your curiosity — that’s what matters most.

•  n8n – Workflow Automation Course

• Make.com  Academy

• Supabase Docs

• Supabase Tutorial 

• Firebase Tutorial 

🎯 Your Mission: Smart Product Bot & Inventory Workflow

Business Context:
We want to launch a conversational AI assistant that helps customers find products (like smartphones) and get notified when out-of-stock items are available again

📌 Part 1 – Product Data Flow (Scraper + DB Sync)
Objective: Build an automated workflow that:

• Scrapes or fetches product data from Amazon (or any e-commerce site — mock if needed)

• Extracts key product info: name, price, availability, rating, product URL

• Saves data into a cloud database like Airtable, Supabase, or Firebase

• Keeps the product list updated every X hours (via scheduled automation)

📌 Part 2 – Conversational Bot with AI & Logic
Objective: Set up a chatbot flow (using LLM API + logic branching) that:

• Handles questions like:

  • “What’s the best smartphone under $500?

  • “Do you have the latest iPhone?”

  • “Compare Samsung vs OnePlus”

• Uses your product database + LLM to generate professional, accurate answers

• If a product is not available, collect:

  • User email

  • Product they asked for

  • Optional filters (brand, price range)

📌 Part 3 – Smart Product Alert System
Objective: Create a notification flow that:

• Monitors the product DB for availability changes

• If a product that a user asked for becomes available:

  • Sends them a personalized email alert (mocked or real)

  • Marks them as “notified” in the DB

• Ensure the alert copy sounds professional and AI-enhanced

🧰 Tech Stack / Tools (Suggested, Not Fixed)

• n8n, Make.com, Xano, Zapier, Retool, AppSmith, Flowise

• Airtable, Supabase, Firebase, or similar

• OpenAI GPT-4, Claude, or similar, or open-source LLMs (via API)

• Scraper: Puppeteer, BrightData, SerpAPI, or mock JSON

📝 What to Submit

• A video walkthrough (5–10 mins) showing your flows and explaining your logic

• Link to your workflow(s) or exported JSONs

• A README with:

  • Setup instructions

  • Tool choices and reasons

  • Known limitations

  • Prompt examples (for chatbot)

✅ Already built something similar before? You can submit that as your solution — just explain how it matches the task.

📊 Evaluation Criteria

• Workflow logic, modularity, and maintainability

• Quality of chatbot replies (professional, useful, context-aware)

• Use of LLMs in a real product flow

• DB structure, extensibility, and reliability

• Creativity in solving edge cases (e.g., no product found)

📩 After Registration

After registration period, you’ll receive an email with more details about:

The company

Task expectations

How to get started smoothly

🧪 Next Step After Submission

Top submissions will be invited for a short technical review session with the Code Quest team. We’ll walk through your flows, discuss your ideas for scaling the system, and review your approach to working with LLMs.👉 Expect a decision within 3–5 business days of submitting your quest.