Job description

Job Description- Google Dialogflow Architect (Remote - USA) Location: Remote Contract type - Contract / C2C Contract duration - 9 months We are searching for a talented and experienced Google Dialogflow Architect to join our growing team. In this remote role, you will play a pivotal role in crafting innovative conversational interfaces that leverage the power of Dialogflow. Responsibilities: • Design, develop, and deploy robust conversational agents using Google Dialogflow for various applications and platforms. • Craft engaging and natural dialogue flows that meet user needs and expectations. • Collaborate with cross-functional teams (design, development, product) to integrate conversational interfaces seamlessly into existing systems. • Continuously improve Dialogflow agents by optimizing natural language understanding (NLU) and overall conversational performance. • Implement context-aware conversations to handle complex user queries effectively. • Integrate Dialogflow with external systems, APIs, and databases to enhance functionality and intelligence of chatbots. • Partner with backend developers to ensure smooth integration of conversational interfaces. • Stay up-to-date on the latest advancements in Google Dialogflow and conversational AI technologies. • Assist in creating and maintaining best practices for Dialogflow development within the team. Qualifications: • Minimum 8 years of IT experience. • GCP certification is mandatory • Proven experience designing and developing conversational interfaces using Google Dialogflow (minimum 3 years). • Strong understanding of natural language processing (NLP) concepts. • Experience with building chatbots for various applications (e.g., customer service, lead generation, information retrieval). • Proficiency in scripting languages (e.g., Python, JavaScript). • Familiarity with cloud platforms (AWS, Azure, GCP) a plus. • Excellent communication, collaboration, and problem-solving skills. • Passion for creating user-centric and engaging conversational experiences. Bonus points: • Experience with Google Cloud Platform (GCP). • Experience with integrating Dialogflow with other AI services (e.g., Dialogflow CX, Machine Learning Engine). • Experience with conversation analytics tools. • Proven ability to document and maintain complex conversational flows.

Requirements

Must-haves

Job Description- Google Dialogflow Architect (Remote - USA)
Location: Remote
Contract type - Contract / C2C
Contract duration - 9 months
Design, develop, and deploy robust conversational agents using Google Dialogflow for various applications and platforms.
Craft engaging and natural dialogue flows that meet user needs and expectations.
Collaborate with cross-functional teams (design, development, product) to integrate conversational interfaces seamlessly into existing systems.
Continuously improve Dialogflow agents by optimizing natural language understanding (NLU) and overall conversational performance.
Implement context-aware conversations to handle complex user queries effectively.
Integrate Dialogflow with external systems, APIs, and databases to enhance functionality and intelligence of chatbots.
Partner with backend developers to ensure smooth integration of conversational interfaces.
Stay up-to-date on the latest advancements in Google Dialogflow and conversational AI technologies.
Assist in creating and maintaining best practices for Dialogflow development within the team.
Minimum 8 years of IT experience.
GCP certification is mandatory
Proven experience designing and developing conversational interfaces using Google Dialogflow (minimum 3 years).
Strong understanding of natural language processing (NLP) concepts.
Experience with building chatbots for various applications (e.g., customer service, lead generation, information retrieval).
Proficiency in scripting languages (e.g., Python, JavaScript).

Nice-to-haves

Familiarity with cloud platforms (AWS, Azure, GCP) a plus.
Experience with Google Cloud Platform (GCP).
Experience with integrating Dialogflow with other AI services (e.g., Dialogflow CX, Machine Learning Engine).
Experience with conversation analytics tools.
Proven ability to document and maintain complex conversational flows.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigcppythonjavascriptawsazuremachine learning

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