Miratech
IT services and consulting
GoogleDialogFlowEngineer(Python)
Neural analysis suggests this role is
optimal for mid candidates.
“Google DialogFlow Engineer (Python) at Miratech. Skills: Dialogflow CX, LLM, Python, Conversational AI. Develop a bot using Google Cloud Platform technologies. Integrate LLM feature in Dialogflow CX”
What You'll Achieve.
Meet or exceed scope objectives; Meet or exceed schedule objectives; Meet or exceed budget objectives
Industry & Context.
Troubleshooting; Analytical skills; Debugging code
What They're Looking For.
Must Have
4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework, Proficient in Natural Language Processing (NLP), Proficient in Natural Language Understanding (NLU), Proficient in Machine Learning (ML), Proficient in Conversational AI, Extensive experience with the new LLM (playbook) feature in Dialogflow CX, Extensive experience with 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, Experience working with relational databases, Experience integrating web services into applications, Proficient in Agile development methodologies, Proficient in Scrum development methodologies, Bachelor’s degree in a technology-related field or equivalent experience
Nice to Have
Experience with JavaScript, Experience with Python, Experience with Node.js, Familiarity with automated testing practices
What You'll Do.
Develop a bot using Google Cloud Platform technologies
Integrate LLM feature in Dialogflow CX
Implement standard Dialogflow CX functionalities
Craft maintainable code
Develop custom components
Optimize chatbot functionality
Optimize chatbot performance
Leverage NLP techniques
Leverage LLM techniques
Leverage ML techniques
Integrate chatbot systems
Integrate with backend systems
Integrate with databases
Investigate technical issues
Resolve technical issues
Stay up-to-date with trends
How You'll Work.
Team & Collaboration
Collaborate closely with developers; Collaborate closely with designers; Collaborate closely with other stakeholders
Process & Methodology
Agile development methodologies, Scrum development methodologies
Full Job Description
Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. 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. Responsibilities: * Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, and 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 f
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