Generative AI Engineer & LLM Solutions Architect

Ethereum Technologies

Raleigh (NC)

On-site

USD 120,000 - 170,000

Full time

8 hours ago
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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

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.

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