AI / Chabot Developer

2 weeks ago

Hyderabad, Telangana, India Pronix Inc Full time US$ 80,000 - US$ 1,20,000 per year

Role: AI Chatbot Developer

Location: Gachibowli, Hyderabad

Duration : Full Time – 100% Onsite

Time : 2.00 PM to 11.00 PM IST

Experience: Min 2 Years to consider

About the job

Seeking a highly skilled Conversational AI /Generative AI Engineer. The ideal candidate will have hands-on development expertise in at least one of the leading AI platforms such as

, Amazon Lex, Azure AI, IBM WatsonEx,

, Google Dialogflow, along with experience in business use case development, solution design, AI automation, REST API Integration, LLM Integration, Prompt Engineering, Model Tuning, AI Agents Development.

Qualifications:

  • Hands-on experience with at least one enterprise AI platforms such as

    , Amazon Lex, Azure AI, IBM Watson Assistant, Google Dialogflow, Rasa, Botpress.
  • Experience with AI Agents, Chatbots, Virtual Assistants, and Search AI.
  • Expertise in NLP, Large Language Models (LLMs), RAG, and Prompt Engineering for AI-powered automation.
  • Experience in enterprise application development and AI workflow automation.
  • Strong programming skills in JavaScript (React, Angular, ), Java, Python, or
  • Experience in REST API development and API integration.
  • Client handling experience is required

Key Responsibilities:

Conversational & Generative AI Development:
Design, develop, and deploy AI-powered chatbots, virtual assistants, AI agents, AI voice assistants, and Search AI for enterprise applications.

Enterprise AI Platform Expertise:
Hands-on development using one or more AI platforms (

, Amazon Lex, Azure AI, Google Dialogflow, IBM WatsonEx,

).

Solution Design & AI Architecture:
Architect AI-powered solutions, integrating NLP, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering for scalable enterprise applications.

Full-Stack Development:

  • Frontend:
    Develop user-friendly interfaces using JavaScript frameworks (React, Angular, , etc.).
  • Backend:
    Build scalable APIs and services using Java, Python, or
  • API Development & Integration:
    Implement REST API integration and custom API development to connect AI services with enterprise applications.
  • LLM Integration & AI Workflows:
    Implement AI-driven automation workflows, fine-tune LLMs, optimize AI training models, and integrate AI solutions with business processes.
  • Search AI & Knowledge Management:
    Develop AI-powered search and knowledge retrieval systems for enterprise-scale automation.
  • AI Automation & Enterprise Implementation
    : Deploy AI-driven automation solutions across business functions, enhancing customer experience (CX) and employee experience (EX).
  • Testing & Optimization:
    Continuously test, fine-tune, and improve AI applications for performance, accuracy, and reliability in real-world enterprise environments.

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