Google DialogFlow Engineer (Python)

Miratech•Yakima, WA

10d•Remote

About The Position

Join the Bot Development team to work on the implementation of a new bot solution across various cloud platforms. Your main responsibility will be to develop a bot using Google Cloud Platform technologies, focusing on integrating the LLM (playbook) feature in Dialogflow CX, in addition to standard Dialogflow CX functionalities.

Requirements

4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework.
Strong hands-on experience with Python for backend development, API integrations, and chatbot orchestration
Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI.
Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities.
Solid understanding of Google as a Software-as-a-Service platform.
Experience with Azure Composer Bots.
Proven troubleshooting and analytical skills in complex, distributed environments.
Familiarity with SQL and experience working with relational databases.
Experience integrating web services into applications.
Proficient in Agile and Scrum development methodologies.
Bachelor’s degree in a technology-related field or equivalent experience.

Nice To Haves

Experience with programming languages such as JavaScript or Node.js.
Familiarity with automated testing practices.

Responsibilities

Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, Dialogflow CX
Craft clean, efficient, and maintainable code adhering to industry best practices and standards.
Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem.
Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations.
Leverage natural language processing (NLP), LLM and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs.
Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement.
Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.