

Conversational AI Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Conversational AI Developer, remote, starting ASAP and lasting until the end of the year. Pay is market rate. Key skills include Dialogflow CX, Google Cloud, Apigee, and experience with Generative AI. Google Cloud certifications preferred.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
-
ποΈ - Date discovered
August 23, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
-
π - Contract type
Inside IR35
-
π - Security clearance
Unknown
-
π - Location detailed
London, England, United Kingdom
-
π§ - Skills detailed
#Python #Cloud #Java #AI (Artificial Intelligence) #Agile #Scala #Compliance #Security #CRM (Customer Relationship Management) #NLP (Natural Language Processing) #Programming #API (Application Programming Interface) #GCP (Google Cloud Platform)
Role description
Role Title: Conversational AI Developer (Dialogflow CX & Google Cloud)
Start Date: ASAP
End Date: EOY Initially
Location: Remote Worker
Rate: Market Rate via Umbrella
Job Summary
We are seeking a skilled Conversational AI Developer with deep expertise in Dialogflow CX, Google Cloud Platform (GCP), and CCAI (Contact Center AI) to design, develop, and deploy intelligent virtual agents and conversational experiences. The ideal candidate will have a strong background in Conversational AI architecture, Apigee API management, and emerging technologies like Generative AI and Agent-based systems.
Key Responsibilities
β’ Design and implement conversational flows using Dialogflow CX for customer-facing and internal virtual agents.
β’ Architect scalable and secure solutions on Google Cloud Platform, integrating with services like Cloud Functions, Pub/Sub, and Vertex AI.
β’ Develop and manage APIs using Apigee to support conversational interfaces and backend integrations.
β’ Collaborate with cross-functional teams to define and implement CCAI solutions for contact centers.
β’ Integrate Generative AI models and agent-based systems to enhance conversational capabilities and personalization.
β’ Optimize NLP performance and user experience through continuous testing and tuning.
β’ Ensure compliance with security, privacy, and accessibility standards in all conversational applications.
Required Skills & Experience
β’ Proven experience with Dialogflow CX and Google Cloud services.
β’ Strong understanding of Conversational AI architecture and design principles.
β’ Hands-on experience with Apigee for API management and integration.
β’ Familiarity with CCAI components including Agent Assist, Virtual Agents, and Insights.
β’ Experience implementing Generative AI models and agent-based systems in real-world applications.
β’ Proficiency in programming languages such as Python, Node.js, or Java.
β’ Excellent problem-solving skills and ability to work in agile environments.
Preferred Qualifications
β’ Google Cloud certifications (e.g., Professional Cloud Architect, CCAI Engineer).
β’ Experience with Vertex AI, Dialogflow ES, and Speech-to-Text / Text-to-Speech APIs.
β’ Knowledge of contact center platforms and CRM integrations (e.g., Salesforce, Zendesk).
β’ Familiarity with ethical AI practices and responsible AI design.
Role Title: Conversational AI Developer (Dialogflow CX & Google Cloud)
Start Date: ASAP
End Date: EOY Initially
Location: Remote Worker
Rate: Market Rate via Umbrella
Job Summary
We are seeking a skilled Conversational AI Developer with deep expertise in Dialogflow CX, Google Cloud Platform (GCP), and CCAI (Contact Center AI) to design, develop, and deploy intelligent virtual agents and conversational experiences. The ideal candidate will have a strong background in Conversational AI architecture, Apigee API management, and emerging technologies like Generative AI and Agent-based systems.
Key Responsibilities
β’ Design and implement conversational flows using Dialogflow CX for customer-facing and internal virtual agents.
β’ Architect scalable and secure solutions on Google Cloud Platform, integrating with services like Cloud Functions, Pub/Sub, and Vertex AI.
β’ Develop and manage APIs using Apigee to support conversational interfaces and backend integrations.
β’ Collaborate with cross-functional teams to define and implement CCAI solutions for contact centers.
β’ Integrate Generative AI models and agent-based systems to enhance conversational capabilities and personalization.
β’ Optimize NLP performance and user experience through continuous testing and tuning.
β’ Ensure compliance with security, privacy, and accessibility standards in all conversational applications.
Required Skills & Experience
β’ Proven experience with Dialogflow CX and Google Cloud services.
β’ Strong understanding of Conversational AI architecture and design principles.
β’ Hands-on experience with Apigee for API management and integration.
β’ Familiarity with CCAI components including Agent Assist, Virtual Agents, and Insights.
β’ Experience implementing Generative AI models and agent-based systems in real-world applications.
β’ Proficiency in programming languages such as Python, Node.js, or Java.
β’ Excellent problem-solving skills and ability to work in agile environments.
Preferred Qualifications
β’ Google Cloud certifications (e.g., Professional Cloud Architect, CCAI Engineer).
β’ Experience with Vertex AI, Dialogflow ES, and Speech-to-Text / Text-to-Speech APIs.
β’ Knowledge of contact center platforms and CRM integrations (e.g., Salesforce, Zendesk).
β’ Familiarity with ethical AI practices and responsible AI design.