Google Cloud ML Engineer

Cloud Hybrid Technologies LLC; Dallas, Northern (TX, KY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Cloud Hybrid Technologies LLC is seeking an experienced AI/NLP software engineer to architect scalable chat Virtual Agent frameworks using Google Vertex AI, including Agent Engine and ADK. The role involves building, customizing, and optimizing chatbots and conversational flows with Dialogflow CX/ES and integrating GenAI models on Vertex AI for advanced capabilities.

The ideal candidate has 6+ years in software development with a focus on NLP/NLU for chat, strong Python, and proven success with

Qualifications

• 6+ years in software development, with 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 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

Conversational AI

Education

Master's/PhD in CS/AI/ML

Tools

Vertex AI

Dialogflow CX/ES

GCP services

Agent Engine

ADK

RAG pipelines

Job description

• Architect, design, and develop scalable chat Virtual Agent frameworks usingGoogle Vertex AI(Agent Engine, ADK).
• Build, customize, and optimize chatbots and conversational flows withDialogflow 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 and maintain cloud-native chat Virtual Agent solutions usingGCP services(CCAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery).
• Train, fine-tune, and deploy custom LLMs, transformer models, andRAG pipelines.
• Develop REST APIs, gRPC, and JSON-based integrations for seamless system communication.

Required Qualifications

• 6+ years in software development (4+ years in NLP/NLU for chat).
• AdvancedPythonskills with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch).
• Proven success building conversational agents withVertex AIandDialogflow CX/ES.
• Proficiency inGCP servicesand cloud-native architectures.
• Experience withAgent Assistfunctionality is a plus.

Preferred Qualifications

• Master's/PhD in Computer Science, AI/ML, or related field.
• GCP certifications (e.g., Google Cloud Certified Professional ML Engineer).
• Experience withGenAI frameworks(PaLM, Gemini).
• Integration with CRM, knowledge bases, and live agent systems.
• Knowledge of security and compliance in conversational AI.

Soft Skills

• Excellent communication and collaboration.
• Strong ownership and end-to-end project delivery.
• Leadership in cross-functional environments.

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract