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 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 Kore.ai, Amazon Lex, Azure AI, IBM WatsonEx, Yellow.ai, 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 :
- 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 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 (Kore.ai, Amazon Lex, Azure AI, Google Dialogflow, IBM WatsonEx, Yellow.ai).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, 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 AIservices 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.(ref : hirist.tech)