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Derisk360

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Derisk360 is an AI-empowered data analytics firm based in London, UK, specializing in risk management through data analytics and artificial intelligence. Founded by experts with extensive consulting backgrounds, the company focuses on transforming business risks into assets using innovative solutions such as AI as a Service, data management, and generative AI applications. Derisk360 serves various industries, including financial services, public sector, energy and utilities, and retail, delivering actionable insights and driving digital transformation for its clients.

GDPR • Compliance • Data Privacy • Data Security • Certification

11 - 50 employees

Founded 2018

🤖 Artificial Intelligence

💸 Finance

🛍️ eCommerce

📋 Description

• We are seeking a skilled Google Dialogflow CX & Contact Center AI (CCAI) Developer with hands-on experience in designing and implementing intelligent chatbots and voice bots. • You will play a key role in building seamless conversational experiences for both chat and voice-based customer interactions. • Design, develop, and deploy Google Dialogflow CX-based chatbots and voice bots. • Create natural conversation flows for diverse user intents across text and voice interfaces. • Develop interactive and context-aware virtual agents with multi-turn conversations. • Optimize Dialogflow CX models for improved accuracy, response handling, and bot performance metrics. • Implement Google Agent Assist for real-time support to human agents. • Configure Smart Reply, Event Handlers, and real-time Agent Assist suggestions. • Integrate knowledge bases to enhance Agent Assist recommendations. • Analyze customer interaction data to fine-tune Agent Assist AI models. • Integrate Dialogflow CX chatbots with backend services, databases, and enterprise systems. • Develop custom API integrations to enable real-time data retrieval and process automation. • Work with third-party telephony systems (Genesys, Avaya, Twilio, Amazon Connect). • Implement authentication mechanisms (OAuth, JWT, API Gateway) for secure interactions. • Train and fine-tune Dialogflow CX models for better natural language understanding (NLU). • Leverage Google Vertex AI and Generative AI to enhance chatbot responses. • Utilize NLP concepts for both text and speech recognition to improve bot accuracy. • Continuously monitor and refine AI-driven bot performance using real-world data. • Conduct unit and integration testing for chatbot and voice bot functionalities. • Develop test cases and automation scripts to validate chatbot workflows. • Monitor bot performance metrics, latency, and accuracy to identify areas for improvement. • Analyze customer interaction logs and apply data-driven improvements. • Guide customers on best practices for chatbot and voice bot development. • Maintain comprehensive documentation for chatbot flows, APIs, and integrations. • Collaborate with UX designers to ensure human-like and intuitive interactions. • Provide technical support and troubleshooting for chatbot deployments.

🎯 Requirements

• 5+ years of experience in chatbot development, preferably with Google Dialogflow CX. • Hands-on experience with Agent Assist, Event Handlers, and Smart Reply configuration. • Strong expertise in NLP, AI, and Machine Learning concepts for both text and voice-based bots. • Experience in API integration & web development using Node.js, Python, or Java. • Familiarity with Google Cloud Platform (GCP) services such as Cloud Functions and Firebase. • Experience with contact center solutions (Genesys, Amazon Connect, Avaya, Twilio, UJET). • Strong analytical skills for chatbot performance monitoring and data analysis. • Experience with unit and integration testing for chatbot and voice bot applications. • Excellent problem-solving, debugging, and troubleshooting skills. • Strong communication and collaboration skills to work with cross-functional teams. • Experience with other chatbot & voice bot platforms (AWS Lex, Kore.ai, Rasa, Watson) (Nice to Have). • Knowledge of Generative AI and Google Vertex AI for advanced chatbot enhancements (Nice to Have). • Experience with UX/UI principles to create human-like chatbot interactions (Nice to Have). • Exposure to machine learning models for speech and text processing (Nice to Have).