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 related field

Master’s degree in AI/ML, NLP, or Computer Science for senior/lead roles

Technical Qualifications

Proficiency in Python or JavaScript/Node.js

Hands-on experience with chatbot platforms: Dialogflow, Rasa, Botpress, Voiceflow, ManyChat, or custom LLM-based systems

Experience with LLM APIs (OpenAI, Anthropic, Google Gemini, etc.) and prompt engineering

Understanding of NLP fundamentals (intents, entities, utterances, context management)

Familiarity with RAG (Retrieval-Augmented Generation) and vector databases (Pinecone, Weaviate, Chroma)

Knowledge of REST APIs, webhooks, and third-party integrations (CRM, helpdesk, messaging apps)

Familiarity with process mapping/flowchart tools (Miro, Lucidchart, Draw.io, Figma)

Basic understanding of cloud platforms (AWS, GCP, Azure)

- Hands-on experience / skill in n8n workflow automation and integrations

📌 AI Chatbot Developer & Process Flow Specialist (Chandigarh)
🏢 JEENA SIKHO LIFECARE
📍 Chandigarh