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We are seeking a skilled Conversational AI chatbot Developer to join our HR Digital Assistant team. The ideal candidate will have practical knowledge of web development and at least one year of experience working with Chatbot Development, Generative AI, LLMs RAG models, and REST APIs. The candidate should also be proficient in HTML, CSS, JavaScript, Python etc. and have experience with at least one web development framework (e.g. React, Angular). The candidate should be familiar with version control systems such as Git, and possess strong independent problem-solving and analytical skills. The candidate must have an eye for detail, and the ability to work independently and as part of a team. The ideal candidate should also have an eagerness to learn new technologies, as well as experience in prompt engineering and vector search-based knowledge content development and design.
Job Responsibility:
Develop conversational AI solutions with Cognigy platform using Generative AI LLMs, natural language processing (NLP) and machine learning (ML) techniques
Work with clients to gather requirements and develop conversational AI chatbot applications that meet their needs
Design and develop REST APIs to integrate conversational AI chatbot applications with existing HRIT systems
Work with web development frameworks such as React or Angular to develop front-end interfaces for conversational AI chatbot applications
Create and manage version control repositories using Git
Troubleshoot issues and debug code to ensure high-quality, error-free applications during development, testing and maintenance operations
Collaborate with cross-functional teams, including UX designers and software engineers, to ensure the successful delivery of projects and maintenance operations
Develop and maintain conversational AI chatbot knowledge content and responses
Knowledge data architecture, technical extraction from internal HR Knowledge base systems, and then perform post process/enrichment/transformation of the knowledge content using programming to fit to vector search-based knowledge stores (RAG model) for accurate answer generation via LLMs
Design and implement conversation flows and user experiences
Implement prompt engineering methodologies and techniques to improve AI/NLP scoring and accuracy
As part of maintenance and support, analyze conversational data to improve the accuracy and effectiveness of conversational AI chatbot applications
Stay up to date with the latest developments in conversational AI and related technologies
Requirements:
Bachelor’s or master’s degree in computer science or a related field
3 Years of Experience
Practical knowledge of working with REST APIs
Proficient in HTML, CSS, JavaScript, Python and at least one web development framework (e.g. React, Angular)
Familiarity with Power BI, version control systems such as Git
Strong problem-solving and analytical skills
Attention to detail and ability to work independently and as part of a team
Eagerness to learn new technologies
Experience in prompt engineering and conversational AI chatbot content development