Conversational AI Developer

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Role Summary

Conversational AI Developer & Tester

voice-first and chat-based customer interactions

VXML-based IVR systems

Key Responsibilities

• Design, build, and test

  end-to-end conversational experiences for

  voice and chat channels

  across multiple AI platforms.
• Translate product and user requirements into intuitive

  dialogue designs and interaction flows

  .
• Collaborate closely with product managers, conversation designers, and customer teams to refine user journeys and ensure smooth voice UX.

• Leverage NLP and ML concepts

  to improve intent accuracy, entity extraction, and contextual conversation management.
• Integrate conversational bots with

  APIs, backend systems, and telephony platforms

  (e.g., Genesys, Twilio, Amazon Connect).
• Conduct functional and user testing, analyze conversation logs, and iterate designs for

  continuous improvement

  .
• Prepare and maintain

  technical documentation, test plans, and version-controlled flow artifacts

  .
• Stay updated on emerging trends in

  Conversational AI, LLMs, and Generative AI integrations

  .

Required Skills & Qualifications

• 3+ years of hands-on experience

  developing or maintaining bots on at least one major platform

(e.g., Dialogflow CX, Rasa, Cognigy, Amazon Lex, Kore.ai, IBM watsonx Assistant).

• Strong grasp of

  Natural Language Processing (NLP)

  fundamentals and

  intent-entity modeling

  .
• Experience in

  voice-based bot development

  or IVR modernization projects.
• Ability to translate conversation design wireframes or scripts into executable bot flows.
• Proficiency in integrating bots with

  APIs, webhooks, or backend data sources

  .
• Familiarity with

  VXML

  ,

  telephony integration

  , or

  contact center systems

  (advantage).
• Strong debugging, testing, and conversation tuning skills.
• Excellent communication and collaboration skills, especially in customer-facing contexts.
• Bachelor’s degree in

  Computer Science, IT, Electronics, or related discipline

  (or equivalent experience).

Preferred / Nice-to-Have

• Exposure to

  Generative AI / LLM-based assistants

  (e.g., OpenAI, Vertex AI Agent Builder, LangChain).
• Understanding of

  analytics, conversation metrics, and A/B testing

  for performance tuning.
• Familiarity with

  JSON, RESTful APIs, and Python or Node.js

  scripting for automation.
• Prior experience in

  voice UX testing

  and tuning ASR/TTS parameters.

What We Offer

• Competitive compensation and benefits package.
• Opportunity to work on

  cutting-edge Conversational AI & Generative AI solutions

  .
• Collaborative, inclusive, and innovation-driven environment.
• Flexible work options (remote-friendly).
• Continuous learning opportunities, ownership, and career growth pathways.