L
Ai Engineer
Lorven Technologies
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. 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. Excellent problem-solving, communication
AI Engineer (GCP)
project
Charlotte, NC (Hybrid)
below is the detailed requirements. 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. Excellent problem-solving, communication