Job Description

Job Title : AI ML Engineer
Location : Dallas , TX ( Onsite)
Role: Google Cloud ML Engineer- Vertex AI
CCAI Chat Virtual Agent Expert
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 Dialogflow to create intelligent, scalable chatbots that enhance digital customer engagement.
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 Virtual Agent solutions using GCP 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:
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.
Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git).
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.
Team Leading and Management.

*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
*** ."

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