Core Technical Qualifications
• Strong experience building WhatsApp chatbots and conversational AI systems.
• Hands-on experience with the WhatsApp Business Platform / Cloud API.
• Proficiency in Python, JavaScript/TypeScript, or similar backend languages.
• Experience with OpenAI APIs, LLMs, prompt engineering, RAG, embeddings, and vector databases.
• Experience with automation platforms such as n8n, Make, Zapier, or custom workflow engines.
• Ability to integrate WhatsApp with CRMs, databases, Google Sheets, calendars, payment systems, and APIs.
• Understanding of webhooks, REST APIs, authentication, JSON, databases, and cloud deployment.
• Experience designing chatbot conversation flows, lead qualification, routing, follow-ups, and escalation to human agents. AI & Automation Skills
• Build AI agents that understand customer intent and extract structured information.
• Create automated lead qualification workflows.
• Implement scoring/ranking of leads based on chatbot responses.
• Automate follow-ups based on user behavior.
• Connect chatbot conversations to CRM pipelines.
• Build dashboards/logging for conversations and automation failures.
• Handle fallback scenarios when the AI cannot confidently answer.
• Implement safeguards against hallucinations and inappropriate responses. WhatsApp-Specific Knowledge




• WhatsApp message templates and approval process.
• Session/24-hour messaging rules.
• Interactive buttons, lists, media, and flows.
• Webhook/event handling.
• Opt-in and consent management.
• Message delivery/read statuses.
• WhatsApp Business account configuration and troubleshooting. Useful ExperienceA solid candidate should ideally have 2–4+ years of software/automation experience and demonstrable projects involving: WhatsApp → AI → Lead Qualification → CRM → Automated Follow-up → Human HandoffPractical Interview TestGive the candidate this assignment: "Build a WhatsApp AI lead-qualification bot that asks 5–7 questions, determines whether the lead is qualified, assigns a lead score, saves the information to a CRM/database, notifies a salesperson for qualified leads, and automatically follows up with leads who stop responding." Ask them to explain:
• Architecture
• WhatsApp API integration
• LLM/AI design
• Database structure
• Automation workflow
• CRM integration
• Error handling
• Security and privacy
• Human handoff
• Estimated cost per conversation Best candidates won't just know how to make a chatbot—they'll understand the entire automation pipeline and how to turn WhatsApp conversations into measurable business outcomes.

📌 Artificial Intelligence Engineer (India)
🏢 AI Automation
📍 India