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Artificial Intelligence Engineer

2 years

0 Lacs

Posted:13 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Role: Artificial Intelligence Engineer / AI Chatbot Developer/AI FullStack 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

Kore.ai


Qualifications:

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

    Kore.ai

    , 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, Vue.js), Java, Python, or Node.js.
  • Experience in REST API development and API integration.
  • Client handling experience is required


Key Responsibilities:

Conversational & Generative AI Development:

Enterprise AI Platform Expertise:

Solution Design & AI Architecture:


Full-Stack Development:

  • Frontend:

    Develop user-friendly interfaces using JavaScript frameworks (React, Angular, Vue.js, etc.).
  • Backend:

    Build scalable APIs and services using Java, Python, or Node.js.
  • 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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