Generative Ai EngineerLocation: Minneapolis ONLY!Duration: 6 monthsDesign and develop generative AI solutions for enterprise use casesBuild and deploy large language model (LLM) based applicationsDevelop scalable machine learning pipelines and workflowsImplement prompt engineering and optimization strategiesCollaborate with cross-functional teams for AI solution deliveryIntegrate AI models with applications, APIs, and microservicesMonitor and improve model performance in productionConduct research and apply latest GenAI advancementsManage data pipelines and preprocessing for ML modelsEnsure scalability, reliability, and security of AI systemsDesign and implement generative AI models for text, code, and multimodal applicationsFine-tune, optimize, and deploy LLMs such as GPT, CLAUDE, and LLAMABuild training pipelines for custom models and foundation model adaptationDevelop ML applications, APIs, and services using PythonCreate and optimize prompts for different use casesImplement evaluation frameworks for model performance and safetyDeploy and monitor models in production environmentsBuild data preprocessing and feature engineering pipelinesCollaborate with product, engineering, and data science teamsEnsure adherence to best practices in AI development and deploymentStrong knowledge of generative AI, NLP, and machine learningProficiency in Python programmingExperience with ML frameworks like TensorFlow and PyTorchHands-on experience with Langchain and Hugging Face TransformersExperience in LLM fine-tuning and optimizationKnowledge of prompt engineering techniquesUnderstanding of microservices architectureExperience with cloud platforms like Azure, AWS, or OpenShiftFamiliarity with containers and orchestration (Docker, Kubernetes)Strong analytical and problem-solving skills8-10 years or above