Conversational AI Developer

Job Summary

Conversational AI Developer

Key Responsibilities

• Design, develop, and deploy conversational AI solutions across platforms (web, mobile, voice, messaging apps).
• Implement

  NLP, NLU, and NLG models

  for intent recognition, entity extraction, and context handling.
• Work with platforms such as

  Dialogflow, Rasa, IBM Watson Assistant, Microsoft Bot Framework, or Azure Cognitive Services

  .
• Collaborate with UX designers, product managers, and data scientists to ensure natural, user-friendly conversations.
• Continuously optimize models using

  machine learning techniques and user interaction data

  .
• Integrate conversational agents with back-end systems, APIs, and databases.
• Conduct testing (functional, regression, and usability) to improve performance and reliability.
• Stay up to date with the latest AI/ML advancements, conversational design best practices, and industry trends.

Required Qualifications

• Bachelor’s/Master’s degree in

  Computer Science, AI, Data Science, or related field

  .
• Hands-on experience with

  conversational AI frameworks

  (e.g., Dialogflow, Rasa, Botpress, Watson Assistant, Alexa Skills Kit).
• Strong programming skills in

  Python, JavaScript, or Java

  .
• Proficiency in

  NLP libraries/frameworks

  (e.g., spaCy, NLTK, Hugging Face Transformers, TensorFlow, PyTorch).
• Knowledge of RESTful APIs, webhooks, and cloud platforms (AWS, Azure, GCP).
• Experience with

  speech-to-text (STT) and text-to-speech (TTS)

  technologies is a plus.
• Strong problem-solving, debugging, and optimization skills.

Preferred Skills

• Experience with

  multi-turn dialogue management and context retention

  .
• Understanding of

  prompt engineering

  and LLM-based assistants (e.g., GPT models).
• Familiarity with

  analytics tools

  to measure chatbot performance (e.g., user engagement, intent accuracy).
• Knowledge of

  DevOps practices

  for CI/CD in AI projects.
• Prior exposure to

  voice assistants, IVR systems, or customer service automation

  .

Soft Skills

• Strong communication and collaboration skills.
• Ability to work in agile teams and manage multiple priorities.
• Analytical mindset with focus on

  user experience and business outcomes

  .