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AI Conversation Designer

ibex

Lahore

On-site

PKR 1,500,000 - 2,500,000

Full time

21 days ago

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Job summary

A technology company in Lahore is seeking an AI Agent Conversation Designer/Engineer to enhance customer experiences via intelligent virtual agents. The role involves crafting engaging conversations, collaborating with teams, and utilizing bot development tools like Google Dialogflow and AWS Lex. A Bachelor’s in a related field and 3+ years of relevant experience are required. This position offers a unique opportunity to innovate in customer service automation.

Qualifications

  • 3+ years of experience in conversation design, chatbot development, or NLP engineering.
  • Proficiency in one or more bot development platforms.
  • Understanding of machine learning and natural language understanding principles.

Responsibilities

  • Design and optimize conversational experiences across text, voice, and multimodal AI agents.
  • Collaborate with teams to define intents, utterances, and dialogue flows.
  • Analyze conversational data to improve agent performance.

Skills

Conversational design
Chatbot development
NLP engineering
Problem-solving
Collaboration
Communication

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Google Dialogflow
AWS Lex
Rasa
Kore.ai
Python
JavaScript
Job description

We are seeking a highly skilled and creative AI Agent Conversation Designer/Engineer to join our team and help shape the next generation of customer experience through intelligent virtual agents. This role sits at the intersection of conversation design, user experience, AI/NLP technologies, and CX strategy. You will be responsible for crafting natural, engaging, and effective conversations for AI-powered customer service bots, and for building the logic, flows, and backend integrations that power them.

Responsibilities
  • Design and optimize conversational experiences across text, voice, and multimodal AI agents that serve customer-facing use cases.
  • Collaborate with CX, product, and engineering teams to define intents, utterances, and dialogue flows aligned to business goals and customer needs.
  • Use tools such as Dialogflow, Microsoft Bot Framework, Rasa, Kore.ai, or proprietary platforms to develop, test, and deploy virtual agents.
  • Write natural, human-like copy that reflects brand voice while supporting task completion, escalation, and error handling.
  • Analyze conversational data to continuously improve agent performance—tuning intents, training datasets, and optimizing flows.
  • Integrate back-end systems and APIs to allow bots to handle dynamic requests (e.g., checking account status, processing returns, scheduling).
  • Develop test cases and perform QA to ensure smooth, bug-free performance in production environments.
  • Stay up to date with NLP, LLMs, and conversational AI innovations to inform ongoing development and optimization.
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Linguistics, UX Design, Human-Computer Interaction, AI, or a related field. Or equivalent on the job experience
  • 3+ years of experience in conversation design, chatbot development, or NLP engineering.
  • Proficiency in one or more bot development platforms: Google Dialogflow, AWS Lex, Rasa, Kore.ai, Cognigy, etc.
  • Familiarity with programming languages (e.g., Python, JavaScript) and basic API integration.
  • Understanding of machine learning and natural language understanding (NLU) principles.
  • Strong grasp of UX best practices, persona development, and user-centric design.
  • Experience with LLM integration and prompt engineering (e.g., OpenAI, Anthropic, Cohere) is a strong plus.
  • Excellent problem-solving, collaboration, and communication skills.
Preferred Skills
  • Experience designing for voice assistants (e.g., Alexa, Google Assistant).
  • Knowledge of analytics platforms (e.g., Voiceflow, Dashbot, Botanalytics) for bot performance tracking.
  • Familiarity with customer service domains such as e-commerce, telecom, healthcare, or fintech.
  • Background in multilingual or multicultural experience design.
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