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Conversational AI Developer

Conversational AI Developer

ConfidentialNagpur, India
9 days ago
Job description

Job Summary

We are seeking a skilled Conversational AI Developer to design, build, and optimize AI-powered conversational solutions such as chatbots, voice assistants, and virtual agents. The ideal candidate will have strong expertise in Natural Language Processing (NLP), machine learning frameworks, and conversational design principles to deliver seamless, human-like customer experiences.

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 .

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    Skills Required

    Java, Machine Learning, Javascript, Restful Apis, Python

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