Python AI Engineer: Azure OpenAI & LLMs (Onsite Cleveland)

Openkyber; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Openkyber seeks a Python AI Engineer in Cleveland, onsite, to develop, fine-tune, and deploy AI models using Azure OpenAI services. You will build scalable, production-ready solutions for tasks like text generation, summarization, and sentiment analysis.

The role requires strong Python skills, hands-on Azure OpenAI experience, and solid MLOps understanding to maintain robust AI applications in enterprise contexts.

Qualifications

• Proficient in Python with AI/ML frameworks and production experience.
• Hands-on with Azure OpenAI models and APIs.
• Understanding of MLOps, version control, and CI/CD pipelines.
• Skills in data preprocessing, prompt engineering, and performance tuning.

Responsibilities

• Develop and maintain robust Python scripts to interact with Azure OpenAI APIs and related services.
• Evaluate, select, and fine-tune Azure OpenAI models based on project‑specific needs.
• Design and implement AI solutions for NLP tasks including text generation, summarization, and sentiment analysis.
• Deploy, monitor, and optimize AI models in production environments.
• Stay up to date with AI, LLMs, and Azure AI ecosystem.
• Utilize industry‑standard libraries, frameworks, and tools to enhance development efficiency.
• Ensure scalability and performance of AI applications to meet enterprise demands.
• Collaborate and communicate complex AI concepts with technical and non-technical stakeholders.
• Troubleshoot and resolve AI model development challenges.

Skills

Python programming

Azure OpenAI

LLM

RAG

Agentic AI

AI Chatbot

MLOps

Tools

PyTorch

TensorFlow

Transformers

Job description

Openkyber seeks a Python AI Engineer in Cleveland, onsite, to develop, fine-tune, and deploy AI models using Azure OpenAI services. You will build scalable, production-ready solutions for tasks like text generation, summarization, and sentiment analysis.

The role requires strong Python skills, hands-on Azure OpenAI experience, and solid MLOps understanding to maintain robust AI applications in enterprise contexts.