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Dialogflow Jobs (NOW HIRING)

Sr. Developer-IVR Support Engineer

Atlanta, GA · On-site

$132K/yr

... Google Dialogflow. This person won't be a pure telephony or app resource; they must be able to follow a call and customer interaction across multiple layers (Client, network, Avaya, IVR ...

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 ...

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 ...

Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Responsibilities : • Good understanding of Client Dialogflow CX or similar conversational AI frameworks. • Exposure to LLM (Large Language Models), agentic architectures, and prompt engineering ...

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 ...

Apply Early

... Dialogflow, Connect-Q, etc is a plus ● Experience with Hybrid RAG Agents, Trainable LLM's is a plus ● BS in Computer Science or equivalent degree (MS in ML is preferred).. ● Ability to work in ...

Apply Early

... Dialogflow, Connect-Q, etc is a plus ● Experience with Hybrid RAG Agents, Trainable LLM's is a plus ● BS in Computer Science or equivalent degree (MS in ML is preferred).. ● Ability to work in ...

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How much do dialogflow jobs pay per hour?

As of Jul 5, 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:
What states have the most Dialogflow jobs? States with the most job openings for Dialogflow jobs include:
Infographic showing various Dialogflow job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 63% Physical, 11% Hybrid, and 26% Remote job distribution, with an average salary of $137,142 per year, or $65.9 per hour.
Sr. Developer-IVR Support Engineer

Sr. Developer-IVR Support Engineer

Apolis

Atlanta, GA • On-site

$132K/yr

Other

Posted 25 days ago


Job description

IVR Support Engineer

Location: Atlanta, GA (Onsite)

Top three skills required for this role:

  • Swampfox
  • Avaya
  • Contact Center

Here is a brief description of the job:

We need an IVR Support Engineer to support our central IVR Orchestration and Routing platform (ICX) that sits between carriers (Client), Avaya SM/CM/MPP, IVR OD application, agents, and Google Dialogflow. This person won't be a pure telephony or app resource; they must be able to follow a call and customer interaction across multiple layers (Client, network, Avaya, IVR, orchestration, CTI, Google Dialogflow) and do structured triage when alerts or issues occur. The main focus is supporting Swampfox Application focused around ICX and FIL application which is tightly integrated with Avaya stack.

Key skills and focus areas:

  • Strong core telephony and IP telephony foundations (call setup, transfers, trunks/routes, basic QoS).
  • Hands-on experience with SIP signaling and traces, able to read SIP ladders and correlate to call behavior.
  • Working knowledge of the Avaya contact center stack (SM, CM, VDNs/vectors, skills/queues, agents).
  • Familiarity with IVR / media platforms (e.g., AEP/MPP), including prompt/media errors, VXML/CCXML, and OD/CF app behavior.
  • Experience with a central routing/orchestration platform that uses business rules, segmentation, and real-time KPIs to decide treatments and destinations (self-service vs agent, in-house vs outsourcer, voice vs chat).
  • Ability to triage alerts from Grafana or similar tools, and link them to logs, call traces, and customer impact.
  • Comfort working with agent transfer and CTI flows, including basic debugging of connector/desktop/routing issues.
  • Exposure to conversational AI integrations (e.g., Google Dialogflow) and when to route to bot vs live agent.
  • Proven capability to perform end-to-end call-flow analysis across Client → SM → CM → IVR/media → ICX → agent/GDF.
  • Strong documentation and communication skills to clearly capture triage steps, findings, and escalation details for L1/L2/L3 teams.

12.00 Years of Experience