Senior Conversation Bot Engineer

Reposted 5 Days Ago
Be an Early Applicant
Mumbai, Maharashtra, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Responsible for developing and maintaining chatbot applications, collaborating with business partners on requirements, and enhancing chatbot capabilities using AI/NLP technologies.
Summary Generated by Built In

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!

Job Description
Role:                               
Work location:               
Senior Conversation Bot Engineer
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 nl tk and spacy
● Ability to write regular expressions for data cleaning and preprocessing

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • Experience in development of virtual agents
  • Experience working with AI/NLP platforms
  • Knowledge of Python, JavaScript or Node.js
  • Experience in training chatbots
  • Strong written communication skills
  • Ability to learn latest technologies
  • Good problem-solving ability

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

Quantiphi Insights

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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