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Dialogflow Jobs (NOW HIRING)

Prophecy Technologies

Google Cloud CX Architect

Phoenix, AZ · On-site

$64.50 - $82.25/hr

The architect will leverage Google Cloud and Google CX (Dialogflow CX) for conversational IVR, NLU/NLP, and integrations, while also architecting secure cloud infrastructure on GCP using services ...

Right Skale, Inc.

GCP AI Engineer

Key Responsibilities • Architect and implement end-to-end conversational AI and generative AI solutions leveraging Dialogflow CX , Vertex AI , and Vertex AI Agent Builder . • Integrate AI ...

Wise Skulls

Google CES developer

Bethpage, NY · On-site

DialogFlow CX - Intent based dialogue design * NLU/NLP experience : Google NLP/Vertex AI - Intent and entity modelling * Conversational flow design : Experience in Figma/Miro Secondary Skillls

Right Skale, Inc.

GCP AI Engineer

Key Responsibilities • Architect and implement end-to-end conversational AI and generative AI solutions leveraging Dialogflow CX , Vertex AI , and Vertex AI Agent Builder . • Integrate AI ...

Purple Drive Technologies

AI Developer

Richardson, TX · On-site

Build chatbots using alternative platforms such as Google Dialogflow CX, LivePerson, Amazon Lex, and Kore.ai * Implement natural language processing (NLP) capabilities for enhanced user interactions

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How much do dialogflow jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for dialogflow in the United States is $65.93, according to ZipRecruiter salary data. Most workers in this role earn between $58.89 and $84.13 per hour, depending on experience, location, and employer.

What is a Dialogflow job?

A Dialogflow job typically involves designing, building, and optimizing conversational AI solutions using Google Dialogflow. Responsibilities may include creating intelligent chatbots, integrating natural language processing (NLP) models, and improving user interactions. Professionals in this field often work as chatbot developers, AI engineers, or conversational UX designers. Strong knowledge of machine learning, APIs, and cloud platforms is beneficial for this role.

What are the key skills and qualifications needed to thrive in the Dialogflow position, and why are they important?

To succeed as a Dialogflow Developer or Specialist, you need expertise in conversational AI design, strong programming skills (especially in JavaScript or Python), and experience with Natural Language Processing (NLP) frameworks. Familiarity with Google Cloud Platform, Dialogflow CX/ES, API integration, and relevant certifications such as Google Cloud Dialogflow certification are highly valuable. Excellent problem-solving abilities, communication skills, and attention to user experience will set you apart. These competencies are crucial for delivering robust, user-friendly chatbot solutions that align with client requirements and business goals.

What are the typical responsibilities of a Dialogflow Developer in a workday?

A Dialogflow Developer typically spends their day designing, building, and maintaining conversational agents and chatbots using Dialogflow. This includes creating intents and entities, integrating APIs, testing natural language models, and collaborating with UX designers and other engineers to enhance conversation flows. You may also be tasked with troubleshooting user issues, analyzing performance metrics, and optimizing chatbot performance based on user feedback. The role often requires teamwork across product, development, and customer support departments to ensure seamless virtual assistant solutions that meet business objectives.

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Dialogflow jobs near you
Infographic showing various Dialogflow job openings in the United States as of June 2026, with employment types broken down into 84% Full Time, 1% Part Time, and 15% Contract. Highlights an 57% Physical, 1% Hybrid, and 42% Remote job distribution, with an average salary of $137,142 per year, or $65.9 per hour.
Chatbot Conversational AI Developer

Chatbot Conversational AI Developer

IT America Inc

Hartford, CT • On-site

$50.75 - $69.75/hr

Contractor

Posted 15 days ago

Job description

Position               : Chatbot Conversational AI Developer (IBM Watson, Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai, NLP)

Location              : Hartford, CT (Hybrid)

Duration              : Long term contract

Primary Skill Set              : IBM Watson

Secondary Skillset           : Chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)

Job Description:

  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems
  • Applying clean coding skills and best practices
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfill intents
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat)
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications
  • Integrate chatbot solutions with multiple platforms
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities
  • Tuning and enhancing Speech to Text models

Required Qualifications:

  • 5+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM Watson Assistant, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
  • 3+ years training and improving intent recognition by curating the appropriate training data sets
  • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications:

  • Experience with working on watsonx Assistant and watsonx Orchestrate
  • Backend (server side) development experience either in Java, node.js
  • Multi-language background and experience working with programming languages such as Python, Java, Javascript/Typescript
  • Experience with IBM Voice gateway and / or IBM Discovery is a plus
  • Knowledge of automated speech recognition, including SSML tagging for TTS