M
AI engineer
Machine Learning Technologies, LLC
4 hours ago
Full-time
On-site
Sunnyvale, California, United States
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.
Key Responsibilities:
Experience architecting, designing, and developing scalable chat Virtual Agent frameworks usingGoogle Vertex AI , with proficiency inVertex AI Agent EngineandGoogle Agent Development Kit (ADK).
Expertise in building, customizing, and optimizingchatbotsandconversational flowswithDialogflowCX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
Demonstrated ability to leverage state-of-the-artNLP,LLM, andGenAImodelsonVertex 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 Virtual Agent solutions using GCP services includingCCAI,Vertex AI ,Pub/Sub,Cloud Functions,Cloud Run,Cloud Storage, andBigQueryfor real-time data processing, analytics, and reporting.
Proficiency intraining,fine-tuning, anddeployingcustomLLMs,transformer models, andRetrieval Augmented Generation (RAG)pipelines to advancechat Virtual Agent intelligence.
Solid understanding and practical application ofMLOpsbest practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning withVertex AI Pipelines,Docker,Kubernetes, andCI/CDworkflows.
Strong experience developingREST APIs,gRPC, andJSON-based communication for seamless system integration.
Required Qualifications:
6+ years in software development (4+ in NLP/NLU for chat).
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 GCP 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.
GCP certifications (e.g., Google Cloud Certified Professional ML Engineer ).
Experience with GenAI frameworks (PaLM, Gemini).
Integration 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.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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Key Responsibilities:
Experience architecting, designing, and developing scalable chat Virtual Agent frameworks usingGoogle Vertex AI , with proficiency inVertex AI Agent EngineandGoogle Agent Development Kit (ADK).
Expertise in building, customizing, and optimizingchatbotsandconversational flowswithDialogflowCX/ES, including implementation of advanced intent detection, context management, slot filling, and rich fulfillment.
Demonstrated ability to leverage state-of-the-artNLP,LLM, andGenAImodelsonVertex 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 Virtual Agent solutions using GCP services includingCCAI,Vertex AI ,Pub/Sub,Cloud Functions,Cloud Run,Cloud Storage, andBigQueryfor real-time data processing, analytics, and reporting.
Proficiency intraining,fine-tuning, anddeployingcustomLLMs,transformer models, andRetrieval Augmented Generation (RAG)pipelines to advancechat Virtual Agent intelligence.
Solid understanding and practical application ofMLOpsbest practices for chatbot pipelines, including automation of training, deployment, testing, monitoring, and versioning withVertex AI Pipelines,Docker,Kubernetes, andCI/CDworkflows.
Strong experience developingREST APIs,gRPC, andJSON-based communication for seamless system integration.
Required Qualifications:
6+ years in software development (4+ in NLP/NLU for chat).
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 GCP 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.
GCP certifications (e.g., Google Cloud Certified Professional ML Engineer ).
Experience with GenAI frameworks (PaLM, Gemini).
Integration 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.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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