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Dialogflow Jobs (NOW HIRING)

talentmovers inc

GCP System Engineer

Issaquah, WA · On-site

Execute the configuration and deployment of core AI agents (Dialogflow CX/ES) and other Agentic AI components, ensuring they meet operational standards for reliability and performance. * AI ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · Hybrid

$68 - $78/hr

Compiler development experience is plus Experience with chat platforms Dialogflow, Connect-Q, etc is a plus Experience with Hybrid RAG Agents, Trainable LLMs is a plus BS in Computer Science or ...

Apex Informatics

Java AI Developer - Backend AI

Phoenix, AZ · On-site

$50.25 - $65/hr

Dialogflow CX or similar platforms * LLMs and prompt engineering concepts * Agentic frameworks (ADK or similar) Nice to Have * Experience in banking, fintech, or digital platforms * Familiarity with ...

Cresta

Associate Conversational AI Designer

OR · On-site +1

$60K - $95K/yr

Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: * Strong communication skills (verbal and written). * Desire to work in a fast-paced environment with ...

Techvilla Solutions

Genesys Developer

$57.50 - $78.75/hr

Experience developing conversational AI solutions using Genesys Dialog Engine, Google Dialogflow, and Amazon Lex. * Strong analytical, problem-solving, organizational, and communication skills.

UrBench

Solution Architect

Chicago, IL · On-site

$65 - $85.50/hr

Hands-on experience with NLP/NLU tools (e.g., Amazon Lex, Google Dialogflow, Rasa, Azure Bot Framework) * Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responsesa

Cresta

Associate Conversational AI Designer

$60K - $95K/yr

Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits: * We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and ...

Intuit

Senior Staff Software Engineer

Charlotte, NC

$119K - $157K/yr

Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at least one of the following: Front-end technologies ...

Intuit

Senior Staff Software Engineer

New York, NY · On-site

$134K - $176K/yr

Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at least one of the following: Front-end technologies ...

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Dialogflow information

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$19

$65

$91

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.

More about Dialogflow jobs
What cities are hiring for Dialogflow jobs? Cities with the most Dialogflow job openings:
What are the most commonly searched types of Dialogflow jobs? The most popular types of Dialogflow jobs are:
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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.
GCP System Engineer

GCP System Engineer

talentmovers inc

Issaquah, WA • On-site

Contractor

Posted 21 days ago

Job description

Title: GCP System Engineer - AI Contact Center

Location: Issaquah, WA (Hybrid model three days onsite per week)

Duration: 6-12 Months Contract

Position Summary: We are seeking a highly skilled GCP System Engineer to manage the operational stability, configuration, and deep-level integration of the Google Contact Center AI (CCAI) platform and its related ecosystem. This role is crucial for implementing and maintaining core contact center functionalities, including call routing, WFM integration, and seamless channel connectivity between Google CES and Salesforce.

Key Responsibilities

Contact Center Operations & Telephony

  • Call Setup & Routing Implementation: Configure, test, and maintain the end-to-end call setup process within the Google Contact Center AI Platform, ensuring high availability and low latency.
  • Routing Logic Deployment: Implement complex, skill-based, and data-driven call and chat routing logic based on directives from the Architecture team and business requirements, ensuring optimal customer experience.
  • Voice and CTI Management: Manage the integration points between the Google CES platform and underlying CTI/telephony infrastructure, troubleshooting connectivity and quality issues (e.g., SIP, webRTC).
  • Workforce Management (WFM) Setup: Lead the technical setup, configuration, and ongoing maintenance of the Verint WFM integration with the Google CES platform, ensuring accurate data exchange for forecasting, scheduling, and adherence monitoring.

Channel & Application Integration

  • Salesforce Channel Integration: Implement and manage the technical channels (e.g., APIs, connectors) that enable real-time and historical data exchange between Google CES (Dialogflow, CCAI) and Salesforce Service Cloud for unified agent views and case creation.
  • External API Integration: Configure and secure API endpoints to facilitate the real-time consumption of data from external systems (e.g., knowledge bases, order systems) to enrich conversational flows.
  • System Health & Monitoring: Establish and manage comprehensive monitoring, alerting, and logging systems (using GCP Operations Suite/Stackdriver) for all contact center components, proactively identifying performance bottlenecks and stability risks.

Agentic AI Configuration & Support

  • Agentic AI Setup: Execute the configuration and deployment of core AI agents (Dialogflow CX/ES) and other Agentic AI components, ensuring they meet operational standards for reliability and performance.
  • AI Integration & Tuning: Configure and maintain the technical integration of Agentic AI with enterprise knowledge bases (via Vertex AI Search/Gen AI) and the designated external APIs to provide accurate and relevant responses.
  • Incident Response: Serve as the Tier 2/3 escalation point for operational issues related to call routing failures, integration errors, and WFM data discrepancies.

 

Required Skills and Experience

·       12+ years of hands-on experience in a System Engineering or CTI/Telephony-focused role within a Contact Center environment.

·       Direct experience with the technical configuration of Google Contact Center AI (CCAI) / Customer Engagement Suite (CES).

·       Proven expertise in setting up and troubleshooting call routing, queueing, and CTI integration logic.

·       Experience with the technical setup and data mapping for Verint Workforce Management (WFM) or a similar enterprise WFM system.

·       Strong understanding of API integration concepts (REST/SOAP) and secure data transmission protocols.

·       Proficiency with GCP services relevant to operations (e.g., Compute Engine, Cloud Load Balancing, Monitoring/Logging).