Google DialogFlow Engineer (Python)

Miratech•Yakima, WA

10d•Remote

About The Position

Miratech is looking for a Google DialogFlow Engineer (Python) to join the Bot Development team and help build next-generation conversational AI solutions across cloud platforms. In this role, you will design, develop, and enhance intelligent chatbots and voice bots using Google Cloud Platform technologies, with a strong focus on Dialogflow CX and its LLM-powered Playbooks capabilities. You will contribute to delivering scalable, high-performance conversational experiences through advanced AI capabilities, backend integrations, and modern cloud-native architectures.

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.
Proven troubleshooting and analytical skills in complex, distributed environments.
Familiarity with SQL and experience working with relational databases.
Experience integrating web services into applications.
Bachelor’s degree in a technology-related field or equivalent experience.

Nice To Haves

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.