Senior Conversation Bot Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Notice period: Max 45 days

Job Description
Role: Sr. Conversation Bot Engineer
Work location: Mumbai & Bangalore
Responsible for developing, enhancing capabilities, modifying and/or maintaining chatbot applications in the
Global Markets environment. Conversation Bot Engineers design, code, test, debug and document programs
well as support activities for the corporate systems architecture. You are required to work closely with business
partners in defining requirements for system applications. You must typically have in-depth knowledge of
analyzing data, developing chatbot, automation to handle data and work with data refinement tools .
Understanding business requirements and coming up with optimum and best to the market solutions.
Required Skills:
Experience in development of virtual agents (chatbots, voicebots) and natural language processing
Experience working with one or more AI/NLP platforms - DialogFlow, Alexa, Converse. ai, Amazon Lex,
Rasa, Luis, Kore. AI, Microsoft Bot Framework, IBM Watson, Wit. ai, Salesforce Einstein etc.
Knowledge of one or more of the following technologies: Python, JavaScript or Node. js
Experience in training chatbots by analyzing historical chat conversations or large amounts of user
generated content and process data
Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management
Strong written communication skills
Ability to learn latest technologies
Good problem-solving ability

Nice to have skills:

Understanding of conversational UI, voiced based processing (text to speech, speech to text) and voice
apps built on Amazon Alexa or Google Home is a plus
Experience in Test Driven Development & Agile methodologies
Knowledge of creating an end to end pipeline for development of AI based conversational applications
Perform text mining, generate and test working hypotheses, prepare and analyze historical data and
identify patterns
Ability to write regular expressions for data cleaning and preprocessing
Understanding of API integrations, Single-Sign-on and token-based authentication
Develop unit test cases as per project specific standards
Experience with HTTP, Sockets, REST and other web services
Perform keyword and topic extraction from chat logs
Knowledge of training and tuning topic modelling algorithms like LDA and NMF
Understanding of training classical Machine learning algorithms along with an understanding of
choosing the right evaluation metric
Knowledge of frameworks like nltk and spacy
Ability to write regular expressions for data cleaning and preprocessing