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AI Engineer (GCP) - Charlotte, NC (Hybrid) (Minimum 12+Years of IT Experince)
Lorven Technologies Inc.
2 hours ago
Full-time
On-site
Charlotte, North Carolina, United States
Our client is looking
AI Engineer (GCP)
project
Charlotte, NC (Hybrid)
below is the detailed requirements.
Before applying for this role, please read the following information about this opportunity found below.
Position: : AI Engineer (GCP) Location:
Charlotte, NC (Hybrid) Duration: Contract
Job Description: Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ years of experience. Strong experience in AI /ML engineering experience . Proficiency in Python programming and developing production-grade applications. Hands-on experience with
NLP, Generative
AI , LLMs, and transformer-based models . Strong knowledge of
Retrieval-Augmented
Generation (RAG), embeddings, vector search, and semantic retrieval. Experience building
Agentic AI applications, AI-powered workflows, and LLM-based automation . Experience with Google Cloud Platform (GCP) and cloud-based AI/ML deployments. Knowledge of
MLOps/LLMOps practices, including model lifecycle management, evaluation, deployment, and monitoring. Experience designing APIs, microservices, and scalable distributed applications. Understanding of enterprise architecture, cloud security, IAM, and system integration. xsgimln Excellent problem-solving, communication
Remote working/work at home options are available for this role.
AI Engineer (GCP)
project
Charlotte, NC (Hybrid)
below is the detailed requirements.
Before applying for this role, please read the following information about this opportunity found below.
Position: : AI Engineer (GCP) Location:
Charlotte, NC (Hybrid) Duration: Contract
Job Description: Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 12+ years of experience. Strong experience in AI /ML engineering experience . Proficiency in Python programming and developing production-grade applications. Hands-on experience with
NLP, Generative
AI , LLMs, and transformer-based models . Strong knowledge of
Retrieval-Augmented
Generation (RAG), embeddings, vector search, and semantic retrieval. Experience building
Agentic AI applications, AI-powered workflows, and LLM-based automation . Experience with Google Cloud Platform (GCP) and cloud-based AI/ML deployments. Knowledge of
MLOps/LLMOps practices, including model lifecycle management, evaluation, deployment, and monitoring. Experience designing APIs, microservices, and scalable distributed applications. Understanding of enterprise architecture, cloud security, IAM, and system integration. xsgimln Excellent problem-solving, communication
Remote working/work at home options are available for this role.