Quantiphi · 2 days ago
Conversation Bot Engineer - Dialogflow CX
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. The Conversation Bot Engineer will be responsible for developing and maintaining chatbot applications, working closely with business partners to define system application requirements.
Artificial Intelligence (AI)Cloud Data ServicesInsurTechMachine LearningSoftware
Responsibilities
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
Qualification
Required
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
Preferred
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
Hands on experience of using frameworks like nltk and spacy
Ability to write regular expressions for data cleaning and preprocessing
Benefits
Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Company
Quantiphi
Quantiphi is a digital engineering company that provides data science and machine learning software and services.
H1B Sponsorship
Quantiphi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (65)
2023 (45)
2022 (94)
2021 (71)
2020 (46)
Funding
Current Stage
Late StageTotal Funding
$23.41MKey Investors
Multiples
2019-12-19Series A· $20M
2018-09-13Series Unknown· $3.41M
Recent News
2025-12-05
2025-12-02
Company data provided by crunchbase