Conversational AI Engineer (Vertex AI & Dialogflow CX/ES)

Robotic Technologies Automation; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

ROBOTIC PROCESS AUTOMATION LLC is seeking an experienced Architect to design and develop scalable chat Virtual Agent frameworks using Vertex AI and Dialogflow CX/ES. The role emphasizes building, training, and deploying NLP-driven agents with cloud-native architectures on GCP.

You will lead efforts to implement GenAI, RAG pipelines, and integration with CRM and knowledge bases, ensuring secure, compliant solutions. 6+ years in software development and strong Python ML skills are required.

Qualifications

• 6+ years in software development (4+ years in NLP/NLU for chat).
• Advanced Python skills with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
• Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
• Proficiency in GCP services and cloud-native architectures.
• Experience with Agent Assist functionality is a plus.

Responsibilities

• Architect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI (Agent Engine, ADK).
• Build, customize, and optimize chatbots and conversational flows with Dialogflow CX/ES (intent detection, context management, slot filling, rich fulfillment).
• Apply NLP, LLM, and GenAI models on Vertex AI for advanced chatbot capabilities (summarization, entity extraction, response generation).
• Develop REST APIs, gRPC, and JSON-based integrations for seamless system communication.

Skills

Python

NLP/NLU

Vertex AI

Dialogflow CX/ES

GCP services

Cloud architectures

REST APIs

LLM

Education

Master’s/PhD in CS/AI

Tools

Hugging Face

TensorFlow

PyTorch

Job description

ROBOTIC PROCESS AUTOMATION LLC is seeking an experienced Architect to design and develop scalable chat Virtual Agent frameworks using Vertex AI and Dialogflow CX/ES. The role emphasizes building, training, and deploying NLP-driven agents with cloud-native architectures on GCP.

You will lead efforts to implement GenAI, RAG pipelines, and integration with CRM and knowledge bases, ensuring secure, compliant solutions. 6+ years in software development and strong Python ML skills are required.