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Dialogflow Jobs in Texas (NOW HIRING)

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement. Key Responsibilities * Experience architecting, designing, and ...

Forhyre

Tech Lead - Conversational AI

Dallas, TX

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

Forhyre

Tech Lead - Conversational AI

Plano, TX

Experience with popular conversational AI platforms and frameworks such as Dialogflow, RASA, or Microsoft Bot Framework. * Proficiency in working with cloud platforms like AWS, Azure, or Google Cloud ...

PTP

Google Cloud Solution Architect - REMOTE

Austin, TX · On-site +1

$62 - $84.75/hr

Dialogflow CX/ES, Conversational Insights, Speech to Text, BigQuery, Pub/Sub, GKE or Cloud Run, and/or Vertex AI • Expert in Google Cloud foundational best practices for IAM, project hierarchy ...

Photon

Conversational Designer | Dallas

Dallas, TX · On-site

Experience with conversational design tools and platforms, such as Botmock, Dialogflow, or IBM Watson Assistant. * Ability to collaborate effectively with cross-functional teams and translate user ...

Photon

Conversational Designer | Dallas

Dallas, TX · On-site

Experience with conversational design tools and platforms, such as Botmock, Dialogflow, or IBM Watson Assistant. * Ability to collaborate effectively with cross-functional teams and translate user ...

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$17

$57

$80

How much do dialogflow jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for dialogflow in Texas is $57.98, according to ZipRecruiter salary data. Most workers in this role earn between $51.79 and $73.99 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.

What are the most commonly searched types of Dialogflow jobs in Texas? The most popular types of Dialogflow jobs in Texas are:
What are popular job titles related to Dialogflow jobs in Texas? For Dialogflow jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Dialogflow jobs in Texas look for? The top searched job categories for Dialogflow jobs in Texas are:
What cities in Texas are hiring for Dialogflow jobs? Cities in Texas with the most Dialogflow job openings:
Dialogflow jobs near you
Infographic showing various Dialogflow job openings in Texas as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $120,608 per year, or $58 per hour.

Google Cloud ML Engineer

MSR Cosmos

Dallas, TX • On-site

$55.25 - $73.75/hr

Contractor

Posted 11 days ago

Job description

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location: Dallas, TX (Day1 Onsite)

Duration: Long Term

We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.

Key Responsibilities

  • Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
  • Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
  • Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent handling, summarization, entity extraction, and response generation.
  • Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
  • Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
  • Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
  • Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.

Required Qualifications:

  • 6+ years in software development (4+ in NLP/NLU for chat).
  • Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
  • Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
  • Proficiency in GCP services and cloud-native architectures.
  • Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

  • Master’s/PhD in Computer Science, AI/ML, or related field. GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
  • Experience with GenAI frameworks (PaLM, Gemini). Integration with CRM, knowledge bases, and live agent systems.
  • Knowledge of security and compliance in chat AI.

Soft Skills:

  • Excellent communication and collaboration.
  • Strong ownership and end-to-end project delivery.
  • Leadership in cross-functional environments.
  • Team Leading and Management.

Checkpoint for quick help

Capability Area                                    Key Skills/Tools

Conversational AI Design                       Vertex AI, Dialogflow CX/ES, LLMs, RAG

NLP/ML/GenAI                                      Google ADK, NLU/NLG, fine-tuning, GenAI (PaLM/Gemini)

GCP Engineering                                   CCAI, Cloud Functions, Pub/Sub, BigQuery, Cloud Run

MLOps & Automation                             Vertex AI Pipelines, Docker, Kubernetes, CI/CD

API Development & Integration               Python, RESTful APIs, backend integration