Dialogflow Cx

Dialogflow Cx Engineer Jobs

2 jobs found

1mo ago

AI engineer

Robotics Technologies Sunnyvale, CA

Sunnyvale, CA

1mo ago Closed

Full time Ai Engineer Artificial Intelligence Chatbot Development

This position is no longer accepting applications (closed Sep 24, 2026).

Job Description

Robotics Technologies is seeking an AI Engineer to design and deliver conversational AI solutions on Google Cloud for digital customer engagement.

Responsibilities

Architect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI, including Vertex AI Agent Engine and Google Agent Development Kit (ADK)
Build, customize, and optimize conversational flows with Dialogflow CX/ES, covering intent detection, context management, slot filling, and rich fulfillment
Apply state-of-the-art NLP, LLM, and GenAI models on Vertex AI to improve chatbot capabilities (complex intent handling, summarization, entity extraction, and response generation)
Develop and maintain cloud-native chat Virtual Agent systems on GCP using CCAI, Vertex AI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, and BigQuery for real-time processing, analytics, and reporting
Train, fine-tune, and deploy custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to increase agent intelligence
Apply MLOps best practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning with Vertex AI Pipelines, Docker, Kubernetes, and CI/CD
Implement REST APIs, gRPC, and JSON-based interfaces to support integrations across systems

Requirements

6+ years in software development, with 4+ years in NLP/NLU for chat
Advanced Python skills; experience with ML/NLP libraries including Hugging Face, TensorFlow, and PyTorch
Proven experience building conversational agents with Vertex AI and Dialogflow CX/ES
Proficiency in GCP services and cloud-native architectures
Solid MLOps foundation including Docker, Kubernetes, CI/CD, and Git
Agent Assist experience is a plus

Technologies

Google Cloud, Vertex AI, CCAI, Dialogflow, Dialogflow CX/ES
Vertex AI Agent Engine, Google Agent Development Kit (ADK)
NLP, LLM, GenAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery
Retrieval Augmented Generation (RAG), transformer models, Vertex AI Pipelines
Docker, Kubernetes, CI/CD
REST APIs, gRPC, JSON, Python, Hugging Face, TensorFlow, PyTorch
Agent Assist

Job Details

Job ID: J52944
Location: Sunnyvale, CA (onsite)
Duration: 9 Months + Extension
Hourly rate: Depending on Experience (DOE)
Employment type: W-2, 1099, C2C
Client: To Be Discussed Later
Work authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Preferred Qualifications

Master’s/PhD in Computer Science, AI/ML, or related field
GCP certifications (example: Google Cloud Certified Professional ML Engineer)
Experience with GenAI frameworks (example: PaLM, Gemini)
Experience integrating with CRM, knowledge bases, and live agent systems
Knowledge of security and compliance in chat AI

Soft Skills

Excellent communication and collaboration
Strong ownership and end-to-end project delivery
Leadership in cross-functional environments
Team leading and management

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1mo ago

Lead AI Engineer

Main Sail LLC Remote 🌍 Remote

Remote

1mo ago Closed

$85 - $95/hr Full time Backend Developer Manager Agent Orchestration

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Main Sail LLC is hiring a Lead AI Engineer to design and deliver agentic AI and conversational experiences across the Google, AWS, and Microsoft ecosystems. In this remote role, you will focus on context engineering and agent design while helping ensure secure API-based access to data, strong model performance, and governance-aligned behavior.

You will lead AI architecture and implementation efforts, mentor other engineers through design and development, and help turn proof of concept work into production-ready solutions.

Key Responsibilities

Develop applications that interact with web services, APIs, and other software applications.
Mentor and lead AI design and development efforts as needed.
Perform peer reviews to confirm AI design and development standards are followed and to establish additional standards when necessary.
Design the overall structure of Agentic AI solutions, including feature definition, user flow, API development, and integration with other systems.
Implement and tune Natural Language Processing techniques to improve AI assistant understanding and response accuracy.
Train, deploy, and monitor AI models by creating and using Dashboards.
Create custom indexes, manage data sources, and tune intent matches to improve accuracy and result relevance.
Design conversational flows that deliver a seamless, intuitive experience with human-like, engaging agent interactions.
Analyze agent interaction data to find patterns, trends, and opportunities for improvement.
Prepare reports using agent performance metrics.
Identify and resolve agent performance issues through debugging and system updates.
Ensure the AI agent and conversational assistant comply with data privacy laws and maintain high security standards when handling sensitive user data.
Work with cross-functional teams including business analysts, UX designers, project managers, and business customers and business SMEs.
Collaborate with the Automation Center of Excellence (CoE) team, adhering to established standards, organization processes, and alignment to target architectures and technology roadmaps.
Ensure AI systems operate safely, transparently, and within boundaries aligned to governance policies and practices.
Plan, initiate, and spearhead proof of concept (POC) initiatives using emerging technologies.
Produce technical writing using tools such as Word, PowerPoint, Visio, SharePoint, and Excel to create presentations and white papers.

Required Qualifications

Bachelor’s degree in computer science, Information systems, or a related discipline, or equivalent and extensive related project experience.
6 years of IT experience, including at least 4 years of combined AI Conversational Agents and/or Generative AI implementation experience.
2 years of AI Engineer experience developing Google conversational agents, including CX Agent Studio and Dialogflow CX Web and Voice Virtual Assistants.
2 years developing Enterprise Looker Dashboards to monitor AI Agent performance.
2 years of AI Engineer experience in AWS, using services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, and Step Functions.

Education & Experience

Bachelor’s degree in computer science, Information systems, or related discipline; Master’s preferred.
Six years of hands-on IT design and implementation experience, with knowledge in at least two technical disciplines: application development, network design, middleware, servers and storage, database management, operations, AI and machine learning fundamentals.
Experience in natural language processing (NLP) and large language model (LLM) integration.
Agentic AI Developer Experience using Microsoft Foundry is preferred.
Experience developing and maintaining SharePoint online solutions using MS Power Platform is preferred.
Google and AWS certifications relevant to this role are preferred.

Tools & Technologies

Google: Google CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, Google CCAI Services
Analytics: Looker Dashboards
AWS: AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda, Step Functions
Microsoft: Microsoft Foundry, Azure AI Search, Azure AI Language Service, Microsoft Power Platform, Microsoft CoPilot Studio, Office 365, SharePoint
Languages & Platforms: C#, .NET, JavaScript, Python
Writing/Collaboration: Word, PowerPoint, Visio, Excel
AI/NLP: NLP, LLM, Natural Language Processing, Artificial intelligence and machine learning fundamentals

Compensation & Location

Location: Remote (remote)
Pay: USD 85 - 95 per hourly

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