Position: Gen AI Developer Location: Charlotte, NC (Hybrid) Duration: 6+ months Must have skill: Python, RAG(Retrieval-Augmented Generation), LangChain, NoSQL Description: As a GenAI Engineer, you will: • Lead or participate in creating and putting into use advanced AI and Generative AI solutions. • Deliver solutions for various business objectives and provide analytical support. • Use neural network designs, including transformer models, to improve how things operate. • Work hands-on with training and setting up large language models in different environments. • Present analysis results, solution ideas, and AI-driven plans for business projects. • Work on multiple AI and Generative AI projects, collaborating with business partners. • Use large datasets, including SQL or NoSQL, to provide analytical support for models. • Build quick test versions of projects to check their possibilities and value to the business. • Check and approve models, helping to make them perform better while following necessary rules. The ideal candidate will have: • Experience in business execution, implementation, or strategic planning. • Familiarity with neural network architectures, including transformer-based models (like GPT or BERT). • Hands-on experience fine-tuning, training, and deploying large language models. • Good understanding of tokenization, embeddings, and model evaluation. • Expertise in Python and key frameworks like TensorFlow, PyTorch, and HuggingFace. • Proficiency in LangChain and LangGraph for building LLM-powered applications and workflows. • Experience with MLOps tools (e.g., MLflow, Kubeflow) for scaling and deploying models. • Experience working with Google Cloud Platform (GCP) services. • Knowledge of SQL and NoSQL for managing various types of data.