Role Summary

Owns the full lifecycle of AI chatbot process flow & development — from mapping user journeys and designing conversation flows, to building, integrating, testing, and optimizing the bot across platforms. Combines technical implementation (NLP/LLM, APIs, integrations) with process design (flowcharts, decision logic, escalation paths) to deliver a chatbot that is both smart and easy to use.

Key Responsibilities
Map user journeys and convert them into structured flows (decision trees, intents, entities, triggers)
Design flowcharts for each use case (FAQ, order tracking, complaints, lead capture, support, etc.)
Define fallback paths, re-engagement prompts, and error handling when the bot misunderstands
Create escalation logic — when and how the bot hands off to a human agent
Build and fine-tune models/prompts using LLM APIs (OpenAI, Anthropic, etc.) or NLP frameworks (Rasa, Dialogflow)
Configure flows in chatbot platforms (Dialogflow, Rasa, Botpress, Voiceflow, ManyChat, or custom LLM-based systems)
Set up intent recognition, entity extraction,



and context/session management
Implement guardrails, safety checks, and data-handling compliance
Integrate chatbot with CRM, helpdesk, messaging platforms (WhatsApp, Slack, web widget, etc.)
Build and maintain REST API / webhook connections between the bot and backend systems
Test flows for edge cases, dead ends, and looping issues
Monitor performance and analyze conversation logs/transcripts to find drop-off points
A/B test flow structures and prompts to improve resolution rate and user satisfaction
Maintain flowcharts, process documentation, and version history of bot logic
Collaborate with product, design, support, and engineering teams
Report on bot performance metrics and improvement roadmap

Qualifications

Educational Qualification
Bachelor’s degree in Computer Science, Information Technology, Artificial Intelligence/Machine Learning, Data Science, or a rela

📌 Ai Chatbot Developer Chandigarh
🏢 Jeena Sikho Lifecare
📍 Chandigarh