Onsite AI Engineer — GenAI/ML/NLP (Raleigh, 8Mo)

Robotics Technologies; Raleigh (NC); On-site; USD 83,000 - 118,000; Full time

Job summary

Robotics Technologies in Raleigh, NC is seeking an AI Engineer for an onsite contract role. You will design, develop, and deploy AI/ML solutions with hands-on exposure to LLMs, NLP, and deployment within healthcare or business contexts.

The position runs for 8 months with a possibility of extension. You will work with Python, OpenAI, LangChain, Docker, and Kubernetes, building production-ready AI systems alongside data scientists and software engineers.

Qualifications

• Experience designing and deploying AI/ML models for business applications.
• Hands-on experience with LLMs, NLP, and deployment.
• Proficient in Python and deep learning frameworks.
• Experience with OpenAI, Azure OpenAI, Hugging Face, LangChain, and RAG.
• Familiar with prompt engineering and fine-tuning techniques.
• Experience deploying with Docker and Kubernetes.
• Experience building AI-powered applications and chatbots.

Responsibilities

• Design, develop, and deploy AI/ML models for business applications.
• Build Generative AI solutions using LLMs.
• Develop AI-powered applications using Python and ML frameworks.
• Integrate AI models with REST APIs and enterprise apps.
• Work with vector databases such as Pinecone, FAISS, ChromaDB.
• Monitor model performance and optimize accuracy.

Skills

AI/ML

Python

NLP

LLMs

Deep learning

Prompt engineering

Fine-tuning

REST APIs

Tools

OpenAI

Azure OpenAI

Hugging Face

LangChain

RAG

Docker

Kubernetes

TensorFlow

PyTorch

Pinecone

FAISS

ChromaDB

Job description

Robotics Technologies in Raleigh, NC is seeking an AI Engineer for an onsite contract role. You will design, develop, and deploy AI/ML solutions with hands-on exposure to LLMs, NLP, and deployment within healthcare or business contexts.

The position runs for 8 months with a possibility of extension. You will work with Python, OpenAI, LangChain, Docker, and Kubernetes, building production-ready AI systems alongside data scientists and software engineers.