AI Engineer Robotics Technologies

Abundant Code; Raleigh (NC); On-site; USD 83,000 - 118,000; Full time

Job summary

Robotics Technologies in Raleigh, NC seeks an experienced AI Engineer to design, develop, implement, and maintain AI/ML solutions. Strong programming skills with Generative AI, LLMs, NLP and deep learning are required to build scalable AI-powered applications.

The role involves collaborating with data scientists and software engineers, deploying models with Docker/Kubernetes, and integrating with REST APIs in a healthcare domain.

Qualifications

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

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.

Skills

Python

Generative AI

LLMs

NLP

Deep learning

TensorFlow

PyTorch

Docker

Kubernetes

REST APIs

LangChain

Hugging Face

OpenAI

Azure OpenAI

Tools

Pinecone

FAISS

ChromaDB

Job description

AI Engineer Overview

• Company Name Robotics Technologies
• Job Role AI Engineer
• Qualifications Not specified
• Category I
• Job Type Full Time
• Location Raleigh, NC, United States

Job ID: J55017 Job Title: AI Engineer Location: Raleigh, NC Duration: 8 Months + Extension Domain Exposure: Healthcare Client: To Be Discussed Later Employment Type: W-2, 1099, C2C Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Engineer Location: Raleigh, NC Duration: 8 Months + Extension Bill Rate: $73/hour (C2C) Job Type: W-2, 1099, C2C Client: To Be Discussed Later Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job 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.

Equal Opportunity Employer

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.

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