Generative AI Engineer for LLMs & NLP

Robotic Technologies Automation; Raleigh (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Robotic Technologies Automation is seeking an experienced AI Engineer to design, develop, and maintain AI/ML solutions. The candidate should have strong programming skills and experience with Generative AI, LLMs, NLP, and deep learning.

The role involves building AI-powered applications, integrating with OpenAI, Azure OpenAI, Hugging Face, LangChain, and deploying models with Docker and Kubernetes. Collaboration with cross-functional teams is essential for delivering scalable AI solutions.

Qualifications

• Strong programming skills and experience with Generative AI, LLMs, NLP, and deep learning.

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

Robotic Technologies Automation is seeking an experienced AI Engineer to design, develop, and maintain AI/ML solutions. The candidate should have strong programming skills and experience with Generative AI, LLMs, NLP, and deep learning.

The role involves building AI-powered applications, integrating with OpenAI, Azure OpenAI, Hugging Face, LangChain, and deploying models with Docker and Kubernetes. Collaboration with cross-functional teams is essential for delivering scalable AI solutions.