AI Conversational Interface Engineer

Benefits

• A dynamic and supportive work environment
• Opportunities for professional growth and development
• Competitive compensation package
• Flexible working hours

Responsibilities

• Design and develop NLU applications (chatbots) using Lex, including conversational flow design, intent definition, and slot type creation
• Develop Natural Language Processing (NLP) capabilities, including implementing NLP models, intents, and slot types based on application requirements
• Thoroughly test the bot to ensure accurate responses, handle edge cases, and perform smoothly in various situations
• Use APIs to interact with different Large Language Models (LLMs), understand their capabilities, and invoke them efficiently and cost-optimally using customized completion prompts
• Develop services using Service-Oriented Architecture (SOA) and interact with APIs to send or receive data from external systems or services
• Manage project dependencies, keep environments isolated, create application packages, and deploy docker images in a cloud infrastructure
• Ensure code quality by writing tests, debugging issues, conducting thorough testing, and fixing any bugs
• Use database concepts to write and create SQL queries to extract data from databases

Full Description

About This Role

Job Title: Chatbot Developer

Location: Los Angeles, CA 90017

Duration/Type: Contract

About TechGen

We're a cutting-edge technology company that specializes in developing innovative solutions to improve customer experiences. Our team of experts is dedicated to creating intelligent chatbots that can interact with users in a natural and intuitive way.

What You'll Do

• Design and develop NLU applications (chatbots) using Lex, including conversational flow design, intent definition, and slot type creation.
• Develop Natural Language Processing (NLP) capabilities, including implementing NLP models, intents, and slot types based on application requirements.
• Thoroughly test the bot to ensure accurate responses, handle edge cases, and perform smoothly in various situations.
• Use APIs to interact with different Large Language Models (LLMs), understand their capabilities, and invoke them efficiently and cost-optimally using customized completion prompts.
• Develop services using Service-Oriented Architecture (SOA) and interact with APIs to send or receive data from external systems or services.
• Manage project dependencies, keep environments isolated, create application packages, and deploy docker images in a cloud infrastructure.
• Ensure code quality by writing tests, debugging issues, conducting thorough testing, and fixing any bugs.
• Use database concepts to write and create SQL queries to extract data from databases.

What We Offer

• A dynamic and supportive work environment
• Opportunities for professional growth and development
• Competitive compensation package
• Flexible working hours