Chatbot/ Conversational AI Engineer

5 - 8 years

15 - 22 Lacs

Posted:22 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities:

  • Act as the

    subject matter expert

    for the chatbot platform and its capabilities.
  • Design and develop

    Python and Groovy-based integrations

    to connect virtual agents with internal systems.
  • Contribute to all phases of the

    Software Development Lifecycle (SDLC)

    .
  • Develop and implement

    Generative AI / LLM-based solutions

    and drive their adoption across teams.
  • Translate business and customer needs into functional, scalable chatbot solutions.
  • Enhance platform utilities and tools that support chatbot development and performance.
  • Lead

    code reviews

    and promote software engineering best practices.
  • Collaborate with global engineering teams, SREs, and conversational AI professionals.
  • Identify

    automation opportunities

    and build scalable AI workflows.
  • Train and improve

    intent recognition models

    and maintain virtual agent accuracy.
  • Continuously optimize and evolve production chatbot experiences.
  • Demonstrate and articulate the value of AI solutions via

    POCs and demos

    .

Primary Skills & Qualifications:

  • Strong experience in

    Python development

    .
  • Knowledge of

    JavaScript, Node.js

    , and relevant frameworks/libraries.
  • Deep understanding of

    software design principles

    and best practices.
  • Solid grasp of

    NLP, Machine Learning

    , and

    AI concepts

    .
  • Practical experience with

    Generative AI / LLMs

    , including model fine-tuning and integration.
  • Hands-on with

    GitHub

    ,

    Jenkins

    , and

    CI/CD pipelines

    .
  • Exposure to

    Agile methodologies

    such as Scrum.
  • Proficient in

    Linux environments

    .
  • Excellent written and verbal communication skills.

Preferred/Good to Have:

  • Experience with

    chatbot platforms

    such as Amelia, Kore.ai, or Microsoft Copilot Studio.
  • Familiarity with

    cloud platforms

    like AWS and Azure.
  • Experience with

    Docker

    ,

    Kubernetes

    , and DevOps workflows.
  • Knowledge of

    sourcing, labeling

    , and training data for ML models.

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Dexian India Technologies logo
Dexian India Technologies

Information Technology

Bangalore

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