> Markdown version of [/jobs/ext/4581130-python-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4581130-python-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Python AI Engineer

- **Company:** Vantage Point
- **Location:** Cleveland, OH, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Computer Programming, Data Cleansing, Python (Programming Language), Machine Learning, Performance Tuning, OpenAI, Tensorflow, Sentiment Analysis, Scripting, Pytorch, Large Language Models, Prompt Engineering, Machine Learning Operations, Azure AI, Software Version Control, Natural Language Generation
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/a0c43dda-de32-4603-9aee-b06be9816b1b/python-ai-engineer

## About the Role

* Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers).
 * Hands-on experience with Azure OpenAI models and APIs.
 * Solid understanding of MLOps concepts, version control, and CI/CD pipelines.
 * Familiarity with data preprocessing, prompt engineering, and performance tuning.
 * Excellent problem-solving and analytical skills.

## Description

We are seeking a skilled Python AI Engineer with strong expertise in developing, fine-tuning, and deploying AI models leveraging Azure OpenAI services. The ideal candidate will design scalable and production-ready AI solutions that address diverse business requirements such as text generation, summarization, and sentiment analysis., * 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 multiple NLP tasks including text generation, summarization, and sentiment analysis.
 * Deploy, monitor, and optimize AI models in production environments.
 * Stay up to date with the latest advancements in 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 effectively with both technical and non-technical stakeholders.
 * Troubleshoot and resolve AI model development challenges, providing innovative and practical solutions.