Conversational AI Developer

2 weeks ago

Nagpur, Maharashtra, India Talent Corner HR Services Pvt Ltd Full time ₹ 9,00,000 - ₹ 12,00,000 per year

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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