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Dialogflow Jobs in California (NOW HIRING)

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

... 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 ...

TechWish

Senior AI Architect

Sunnyvale, CA · On-site

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

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

... 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 ...

Teklead Corp

Sr Chatbot Engineer

Westlake Village, CA · On-site

$68 - $78/hr

... 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 ...

Axos Bank

Conversational AI Engineer

San Diego, CA · 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 ...

Axos Bank

Conversational AI Engineer

San Diego, CA

$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 ...

LA28

Manager, Platform App Development

Los Angeles, CA · On-site

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 ...

Forhyre

Tech Lead - Conversational AI

Sunnyvale, CA

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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All JobsDialogflow JobsDialogflow Jobs in California

Dialogflow information

See California salary details

$19

$64

$89

How much do dialogflow jobs pay per hour?

As of Jul 27, 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 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 California? The most popular types of Dialogflow jobs in California are:
What are popular job titles related to Dialogflow jobs in California? For Dialogflow jobs in California, the most frequently searched job titles are:
What job categories do people searching Dialogflow jobs in California look for? The top searched job categories for Dialogflow jobs in California are:
Dialogflow jobs near you
Infographic showing various Dialogflow job openings in California as of July 2026, with employment types broken down into 63% Full Time, 5% Part Time, and 32% Contract. Highlights an 75% In-person, 4% Hybrid, and 21% Remote job distribution, with an average salary of $134,294 per year, or $64.6 per hour.
Senior AI Architect & Lead Prompt Engineer

Senior AI Architect & Lead Prompt Engineer

AIT Global, Inc.

Sunnyvale, CA • On-site

Other

Posted 5 days ago

Job description

Job Title: Senior AI Architect & Lead Prompt Engineer
Location: Sunnyvale, CA
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 (Google Cloud Platform).
  • 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 Google Cloud Platform 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: Google Cloud Platform (GKE, Cloud Build), Docker, TensorRT.
  • Data: Cloud SQL, PostgreSQL, Redis.

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