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Dialogflow Jobs in California (NOW HIRING)

Prompt Engineer Lead / Architect

Sunnyvale, CA ยท On-site

$65.75 - $90/hr

Design conversational interfaces using Dialogflow and Gemini-powered agents to manage inquiry routing and automated workflow orchestration. System Integration: Architect integrations between LLM ...

Sr Chatbot Engineer

Westlake Village, CA ยท On-site

$68 - $78/hr

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

Sr Chatbot Engineer

Westlake Village, CA ยท On-site

$68 - $78/hr

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

Sr Chatbot Engineer

Westlake Village, CA ยท On-site

$68 - $78/hr

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

Conversational AI Engineer

San Diego, CA ยท On-site

$70K - $93K/yr

This role works primarily within the Google CCAS suite, including Dialogflow Conversational Agents, and GCP, and plays a critical role in both production support and platform enhancements. The ...

Conversational AI Engineer

San Diego, CA ยท On-site

$70K - $93K/yr

This role works primarily within the Google CCAS suite, including Dialogflow Conversational Agents, and Google Cloud Platform, and plays a critical role in both production support and platform ...

Conversational AI Engineer

San Diego, CA ยท On-site

$70K - $93K/yr

This role works primarily within the Google CCAS suite, including Dialogflow Conversational Agents, and GCP, and plays a critical role in both production support and platform enhancements. The ...

Oversee end-to-end development of custom applications on GCP, leveraging services like Dialogflow CX, Cloud Functions, and Cloud Storage ("knowing how the sausage is made"). * Act as a compelling ...

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 ...

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 ...

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Showing results 1-20

Dialogflow information

See California salary details

$19

$64

$89

How much do dialogflow jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for dialogflow in California is $64.56, according to ZipRecruiter salary data. Most workers in this role earn between $57.67 and $82.39 per hour, depending on experience, location, and employer.

What is a Dialogflow?

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 does a Dialogflow developer do?

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 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 most commonly searched types of Dialogflow jobs in California?

The most popular types of Dialogflow jobs in California are:

Infographic showing various Dialogflow job openings in California as of August 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $134,294 per year, or $64.6 per hour.

Prompt Engineer Lead / Architect

Kutir Technologies

Sunnyvale, CA โ€ข On-site

$64.75 - $89/hr

Contractor

Posted 18 days ago


Job description

Position Title: Prompt Engineer Lead / Architect

Location: Sunnyvale CA

Duration: 6+ months

Key Responsibilities:

AI Architecture & Design: Lead the end-to-end architecture of multi-agent systems, moving from initial concept to production-grade deployment on Google Cloud Platform (GCP).

Prompt Engineering & Orchestration: Develop sophisticated prompt engineering frameworks, including system prompts, few-shot templates, and output guardrails. Utilize Chain-of-Thought (CoT) prompting and structured prompt chains for complex reasoning tasks.

Intelligent Dialog Systems: Design conversational interfaces using Dialogflow and Gemini-powered agents to manage inquiry routing and automated workflow orchestration.

System Integration: Architect integrations between LLM platforms (Vertex AI/Gemini) and enterprise CRM/ITSM tools like Salesforce and ServiceNow, specifically focusing on Telecom-grade inquiry response and ticketing workflows.

RAG & Knowledge Retrieval: Build and optimize RAG (Retrieval-Augmented Generation) pipelines grounded in internal client policies and technical documentation.

MLOps & Deployment: Oversee the deployment of microservices using GKE (Google Kubernetes Engine), Cloud SQL, and Cloud Build, ensuring scalable and reliable AI performance.

Required Core Expertise:

LLM Stack: Deep expertise in Gemini, Vertex AI, and LangChain or LlamaIndex.

Enterprise Integration: Proven experience architecting AI solutions that interface with Salesforce and ServiceNow within a Telecom or large enterprise

context.

Agentic Systems: Experience building multi-agent architectures for autonomous task execution and workflow automation.

Data & Search: Mastery of hybrid search, reranking, and vector databases (e.g., Redis, PostgreSQL).

Qualifications:

Experience: 10+ years in the AI stack, ranging from classical NLP/NLU to modern generative AI architectures.

Education:

B.Tech in Computer Science, Mathematics, or a related technical field.

Technical Proficiency:

Strong command of Python, Terraform IAC, Docker, and the GCP ecosystem (GKE, Cloud Deploy).

Industry Knowledge: Demonstrated understanding of the Service Now, Salesforce, Net Cracker in Telecommunications service lifecycle, specifically regarding inquiry management and automated support.

Tools & Platforms:

AI/ML: Gemini, Vertex AI, Hugging Face, OpenAI, Claude.

Frameworks: LangChain, LlamaIndex, Dialogflow.

Cloud & Infra: GCP (GKE, Cloud Build), Docker, TensorRT.

Data: Cloud SQL, PostgreSQL, Redis