Dice
Location
Dallas, TX Onsite day 1 (Only Local to TX) Near By 70 Miles
Experience
12+ Years
About the Role
We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialog flow to create intelligent, scalable chatbots that enhance digital customer engagement.
Must have Tech Stack Google Cloud CCAI Dialogflow, Playbook, Data Store, Google Cloud Vertex AI
Project Out-of-the-Box Conversational AI, Virtual Agent, Custom Conversational AI chat bots
Key Responsibilities Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities such as complex intent handling, summarization, entity extraction, and response generation.
Hands-on experience building and maintaining cloud-native chat Agent solutions using Google Cloud Platform services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.
Required Qualifications
5+ years in software development (4+ years in NLP/NLU for chat).
Technical Skills Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
Proficiency in Google Cloud Platform services and cloud-native architectures.
Experience with Agent Assist functionality is a plus.
Preferred Qualifications Master s / PhD in Computer Science, AI/ML, or related field.
Google Cloud Platform certifications (e.g., Google Cloud Certified Professional ML Engineer).
Experience with GenAI frameworks (PaLM, Gemini).
Integration with CRM systems, knowledge bases, and live agent platforms.
Knowledge of security and compliance in chat AI.
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Dallas, TX Onsite day 1 (Only Local to TX) Near By 70 Miles
Experience
12+ Years
About the Role
We seek an experienced developer to design, build, and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI, CCAI, and Dialog flow to create intelligent, scalable chatbots that enhance digital customer engagement.
Must have Tech Stack Google Cloud CCAI Dialogflow, Playbook, Data Store, Google Cloud Vertex AI
Project Out-of-the-Box Conversational AI, Virtual Agent, Custom Conversational AI chat bots
Key Responsibilities Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
Expertise in building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities such as complex intent handling, summarization, entity extraction, and response generation.
Hands-on experience building and maintaining cloud-native chat Agent solutions using Google Cloud Platform services including CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time data processing, analytics, and reporting.
Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
Solid understanding and practical application of MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD workflows.
Strong experience developing REST APIs, gRPC, and JSON-based communication for seamless system integration.
Required Qualifications
5+ years in software development (4+ years in NLP/NLU for chat).
Technical Skills Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
Proficiency in Google Cloud Platform services and cloud-native architectures.
Experience with Agent Assist functionality is a plus.
Preferred Qualifications Master s / PhD in Computer Science, AI/ML, or related field.
Google Cloud Platform certifications (e.g., Google Cloud Certified Professional ML Engineer).
Experience with GenAI frameworks (PaLM, Gemini).
Integration with CRM systems, knowledge bases, and live agent platforms.
Knowledge of security and compliance in chat AI.
#J-18808-Ljbffr