About Quantiphi:

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations.

Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake.

Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.

We have been recognized with:

* 17x Google Cloud Partner of the Year awards in the last 8 years

* 3x AWS AI/ML award wins

* 3x NVIDIA Partner of the Year titles

* 2x Snowflake Partner of the Year awards

* Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms

* We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators

* We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023

For more details, visit: Website or LinkedIn Page

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Job Description:

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:

1. Experience in development of virtual agents (chatbots, voicebots) and natural language processing

2. 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.

3. Knowledge of one or more of the following technologies: Python, JavaScript or Node.js

4. Experience in training chatbots by analyzing historical chat conversations or large amounts of user generated content and process data

5. Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management

6. Strong written communication skills

7. Ability to learn latest technologies

8. Good problem-solving ability

Nice to have skills:

1. 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

2. Experience in Test Driven Development & Agile methodologies

3. Knowledge of creating an end to end pipeline for development of AI based conversational applications

4. Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns

5. Ability to write regular expressions for data cleaning and preprocessing

6. Understanding of API integrations, Single-Sign-on and token-based authentication

7. Develop unit test cases as per project specific standards

8. Experience with HTTP, Sockets, REST and other web services

9. Perform keyword and topic extraction from chat logs

10. Knowledge of training and tuning topic modelling algorithms like LDA and NMF

11. Understanding of training classical Machine learning algorithms along with an understanding of choosing the right evaluation metric

12. Hands on experience of using frameworks like nltk and spacy

13. Ability to write regular expressions for data cleaning and preprocessing

What’s in it for YOU at Quantiphi?

* 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.

Conversation Bot Engineer - Dialogflow CX