Develop reusable conversation components and enterprise chatbot frameworks. GECX / Generative AI Implementation * Design and develop Google GECX (GenCX) Playbooks utilizing Large Language Models ...
Develop reusable conversation components and enterprise chatbot frameworks. GECX / Generative AI Implementation * Design and develop Google GECX (GenCX) Playbooks utilizing Large Language Models ...
Generative Ai Chatbot information
What is a generative AI chatbot?
A Generative AI Chatbot is an artificial intelligence system designed to engage in human-like conversations by generating responses to user inputs in real time. Unlike traditional rule-based chatbots that rely on predefined scripts, generative AI chatbots use advanced machine learning models—often based on large language models—to understand context and produce original, relevant responses. These chatbots can be used in customer service, education, entertainment, and more, offering personalized and dynamic interactions. They continue to improve as they process more data and user interactions.
What are some common challenges faced by professionals working on generative AI chatbot development, and how can they be addressed?
Professionals developing generative AI chatbots often encounter challenges such as managing ambiguous user inputs, ensuring conversational relevance, and maintaining ethical standards like avoiding biased or inappropriate responses. Collaboration with interdisciplinary teams—including data scientists, linguists, and UX designers—is vital to continuously improve the chatbot's performance. Regular testing, user feedback, and fine-tuning of language models are essential practices to address these challenges and enhance the chatbot's ability to handle diverse real-world conversations.
What are the key skills and qualifications needed to thrive as a generative AI chatbot developer, and why are they important?
To thrive as a Generative AI Chatbot Developer, you need strong programming expertise (especially in Python), a solid understanding of machine learning and natural language processing (NLP), and typically a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with APIs, and knowledge of cloud platforms such as AWS or Azure are commonly required, along with relevant AI or ML certifications. Creativity, problem-solving, and effective communication are vital soft skills for designing engaging, user-friendly conversational experiences and collaborating with cross-functional teams. These skills are crucial for building reliable, scalable, and innovative AI chatbots that meet user needs and business objectives.
What is the difference between Generative Ai Chatbot vs Data Scientist?
| Aspect | Generative Ai Chatbot | Data Scientist |
|---|---|---|
| Required Credentials | Basic programming, AI/ML knowledge | Degree in Data Science, Statistics, or related field |
| Work Environment | Tech companies, customer service platforms | Research labs, corporate analytics teams |
| Industry Usage | Automated customer interactions, content generation | Data analysis, predictive modeling, insights |
| Search & Comparison Intent | Understanding AI chatbot capabilities | Data analysis skills and roles |
Generative Ai Chatbots focus on creating conversational AI for customer engagement, requiring programming and AI knowledge. Data Scientists analyze data to generate insights, often with advanced degrees. While both work in tech environments, their roles differ in purpose and skill set.
What are popular job titles related to Generative Ai Chatbot jobs in Colorado?
For Generative Ai Chatbot jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Generative Ai Chatbot jobs in Colorado look for?
The top searched job categories for Generative Ai Chatbot jobs in Colorado are:
What cities in Colorado are hiring for Generative Ai Chatbot jobs?
Cities in Colorado with the most Generative Ai Chatbot job openings:
Google CCAI (Contact Center AI) & GECX Developer at Denver, CO (Onsite)
Denver, CO • On-site
Other
Posted 13 days ago
Job description
Job Title: Google CCAI (Contact Center AI) & GECX Developer
Location: Denver, CO (Onsite)
Long Term Contract
Job Summary
We are seeking a highly skilled Google CCAI and GECX Developer with hands-on experience in designing, developing, and implementing enterprise-grade Conversational AI solutions using the Google Cloud ecosystem. The ideal candidate will have expertise in Dialogflow CX, GECX Playbooks, Conversational AI, Python-based integrations, API orchestration, and cloud-native application development. Experience in contact center transformation, virtual agent modernization, and migration projects from legacy IVR/chatbot platforms to Google CCAI/GECX is highly preferred.
Key Responsibilities
Conversational AI Development
- Design, develop, and maintain intelligent virtual agents using Google Dialogflow CX and Google Contact Center AI (CCAI).
- Build voice and chat automation solutions for customer service, sales, technical support, billing, payments, account management, and other contact-center use cases.
- Configure and manage intents, entities, routes, flows, pages, fulfillment, session parameters, and event handlers.
- Develop reusable conversation components and enterprise chatbot frameworks.
GECX / Generative AI Implementation
- Design and develop Google GECX (GenCX) Playbooks utilizing Large Language Models (LLMs).
- Implement generative AI-powered customer journeys leveraging Gemini and Vertex AI services.
- Build and optimize prompts, grounding strategies, response generation logic, and conversational guardrails.
- Perform prompt engineering, prompt evaluation, and conversation tuning activities.
Integration & Backend Development
- Develop Python-based webhooks and fulfillment services.
- Integrate conversational solutions with enterprise applications using REST APIs, gRPC services, middleware platforms, and cloud services.
- Implement secure authentication mechanisms including OAuth, JWT, and API key-based integrations.
- Build orchestration layers for customer profile retrieval, account validation, transaction processing, and backend workflows.
Migration & Modernization Projects
- Participate in migration initiatives involving:
- Legacy IVR to Google CCAI migration
- Dialogflow ES to Dialogflow CX migration
- Chatbot platform migration to Google Conversational AI
- Legacy rule-based bots to Generative AI-based virtual agents
- Analyze existing conversation flows, intents, call-routing logic, and backend integrations.
- Execute migration assessments, solution mapping, conversation redesign, and deployment activities.
- Support data migration, knowledge migration, and conversational experience modernization efforts.
DevOps & Production Support
- Manage source code repositories using Git-based version control systems.
- Support CI/CD deployment pipelines across development, testing, staging, and production environments.
- Troubleshoot production issues and implement root-cause analysis.
- Conduct regression testing, performance validation, and release management activities.
Required Technical Skills
Google CCAI Technologies
- Google Contact Center AI (CCAI)
- Dialogflow CX
- Conversational AI
- Virtual Agent Development
- Contact Center Automation
GECX / Generative AI
- Google GenCX / GECX Playbooks
- Gemini Models
- Vertex AI
- Prompt Engineering
- Prompt Evaluation
- LLM Integrations
- AI Agent Design
Development
- Python
- REST APIs
- gRPC
- Webhook Development
- Microservices Architecture
Cloud Technologies
- Google Cloud Platform (Google Cloud Platform)
- Cloud Functions
- Cloud Run
- BigQuery
- Vertex AI
- Pub/Sub
- Cloud Storage
Database & Tools
- SQL
- Postman
- GitHub
- GitLab
- JIRA
Preferred Skills
- Experience with telecom, banking, healthcare, retail, or customer service contact centers.
- Knowledge of speech analytics and conversational analytics.
- Hands-on experience with RAG (Retrieval Augmented Generation) architectures.
- Experience with LangChain, LangGraph, AI agents, and Agentic AI frameworks.
- Exposure to omnichannel customer engagement platforms.
- Understanding of IVR call flows, contact center operations, and customer experience transformation programs.
Preferred Migration Experience
Candidates with experience in any of the following will be strongly preferred:
- Genesys to Google CCAI migration
- NICE CXone to Google CCAI migration
- Amazon Connect to Google CCAI migration
- Legacy IVR modernization programs
- Dialogflow ES to CX migration
- Traditional chatbot to Generative AI bot transformation
- Knowledge base migration and conversational redesign initiatives
- Contact center cloud migration programs
Certifications (Preferred)
- Google Professional Cloud Architect
- Google Professional Cloud Developer
- Google Cloud Digital Leader
- Google Generative AI Certifications
- Google Contact Center AI Certifications
About Wiselink – USA
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Germantown, MD, US