AI Engineer

Ethereum Technologies; Raleigh (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

Ethereum Technologies is seeking an experienced AI Engineer to design, develop, and maintain AI/ML solutions. The role focuses on Generative AI, LLMs, NLP, and deep learning, using Python and modern ML frameworks.

The ideal candidate will design and deploy AI models, build RAG pipelines, implement prompt engineering, and collaborate with data scientists, software engineers, and product teams to deliver scalable solutions in a security-conscious enterprise environment.

Responsibilities

• Design, develop, and deploy AI/ML models for business applications.
• Build and implement Generative AI solutions using LLMs.
• Develop AI-powered applications using Python and machine learning frameworks.
• Work with OpenAI, Azure OpenAI, Hugging Face, and LangChain.
• Develop Retrieval-Augmented Generation (RAG) pipelines.
• Implement prompt engineering and fine-tuning techniques.
• Build intelligent chatbots and conversational AI applications.
• Integrate AI models with REST APIs and enterprise applications.
• Work with vector databases such as Pinecone, FAISS, and ChromaDB.
• Perform data preprocessing, feature engineering, and model optimization.
• Develop deep learning models using TensorFlow and PyTorch.
• Collaborate with data scientists, software engineers, and product teams.
• Monitor model performance and improve AI solution accuracy.
• Implement AI model deployment using Docker and Kubernetes.
• Ensure AI solutions meet security, scalability, and performance requirements.

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, OtherJob Summary:

We are looking for an experienced AI Engineer to design, develop, implement, and maintain Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong programming skills, experience with Generative AI, Large Language Models (LLMs), NLP, and deep learning technologies.

Key Responsibilities

• Design, develop, and deploy AI/ML models for business applications.
• Build and implement Generative AI solutions using LLMs.
• Develop AI-powered applications using Python and machine learning frameworks.
• Work with OpenAI, Azure OpenAI, Hugging Face, and LangChain.
• Develop Retrieval-Augmented Generation (RAG) pipelines.
• Implement prompt engineering and fine-tuning techniques.
• Build intelligent chatbots and conversational AI applications.
• Integrate AI models with REST APIs and enterprise applications.
• Work with vector databases such as Pinecone, FAISS, and ChromaDB.
• Perform data preprocessing, feature engineering, and model optimization.
• Develop deep learning models using TensorFlow and PyTorch.
• Collaborate with data scientists, software engineers, and product teams.
• Monitor model performance and improve AI solution accuracy.
• Implement AI model deployment using Docker and Kubernetes.
• Ensure AI solutions meet security, scalability, and performance requirements.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.