Conversational AI – Engineer

Overall Experience: 8 to 10+ Years

• Hands on experience in any of the leading conversation AI platforms/tools like – RASA, Amelia, Kore.ai, Amazon Lex, Google DialogFlow etc.

• 3+ years of experience building end-to-end NLU, NLP or conversational AI systems in a production environment

• Deep understanding of Transformers, Large Language Models (LLMs) and their applications

• Knowledge of conversational design, flow, and natural language generation

• Experience in automation of Custom contact centers using Conversational AI implementation is an added advantage.

• Hands on experience on micro services, RESTful API, Web Socket, JSON, XML, SQL, NoSQL, Web API

• Development experience using modern programming languages (e.g. JavaScript, Java, Python)

• Mobile development experience (iOS, Android) is a plus.

• Willingness to explore and learn new technology/tool is desired.

• Experience working in Agile methodology

• Excellent written and oral communication skills to collaborate with various stakeholders to understand the existing bot framework, architecture, design principles and implement it to meet business needs.

Responsibilities

• Design and build data-driven conversation models with emphasis on realism and natural flow

• Analyze and evaluate the quality of a human-BOT conversation and suggest ways to improve it

• Efficiently conduct experiments to validate conversational AI algorithms with respect to product goals

• Collect and curate training data, train models, and optimize them for deployment

• Be a champion of engineering excellence and propose systematic changes to achieve it