Conversational AI / Chatbots
Also written as Conversational AI, Chatbot, Chatbot Development, Dialogflow, Rasa, Amazon Lex, Microsoft Bot Framework, Yellow.ai, Haptik, Kore.ai
Building bots that talk with customers or staff over chat, WhatsApp or voice. Older bots follow designed conversation flows and detect 'intents' (Dialogflow, Rasa, Amazon Lex); newer ones use LLMs to understand free text, usually within guardrails. Yellow.ai, Haptik and Kore.ai are common enterprise platforms.
Think of it like
A trained front-desk assistant who handles the routine questions and knows when to call a person.
Junior or senior?
Junior sounds like
Builds flows in a bot tool.
Senior sounds like
Has raised the share of conversations the bot resolved without a human, and designed the hand-off to human agents.
Ask them
“What share of conversations did your bot resolve without a human, and what did you change to improve it?”
Reading Conversational AI / Chatbots on a resume
- Common
- Conversational AI / Chatbots narrows the field but doesn't prove depth on its own. The junior-versus-senior contrast above is what separates one candidate from another.
Sourcing for Conversational AI / Chatbots
Every way it's written
("Conversational AI" OR "Chatbots" OR "Chatbot" OR "Chatbot Development")Paste into LinkedIn Recruiter, Naukri or your ATS. Combine with a job title and location.
Wider net, with accepted substitutes
("Conversational AI" OR "Chatbots" OR "Chatbot" OR "Chatbot Development" OR "Dialogflow" OR "Rasa")Includes skills a hiring manager would usually accept instead. Use it when the exact search runs dry.
Job titles to search alongside it
Machine Learning Engineer · ML Engineer · AI Engineer · Applied Scientist · MLOps Engineer · Data Scientist
Where this talent works in India — AI & Machine Learning
Target companies with models in production and their own training or inference spend — hyperscaler AI teams, consumer platforms with ranking systems, and funded model startups. Analytics-only shops produce the job title without the delivery.
For example: Google (Research and DeepMind India), Microsoft (including Microsoft Research India), NVIDIA, Adobe, Amazon, Salesforce, Uber, Sarvam AI.