Python AI Engineer @ Cleveland, OH (Onsite)

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Python AI Engineer

Location: Cleveland, OH (Onsite)

Employment Type: Full-Time / Subcontract

Job Summary

We are seeking a highly skilled Python AI Engineer with expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, AI Chatbots, and Azure OpenAI Services. The ideal candidate will design, develop, fine-tune, and deploy scalable AI solutions that support enterprise use cases such as conversational AI, text generation, summarization, sentiment analysis, and intelligent automation.Key Responsibilities

• Develop, maintain, and optimize Python-based AI applications leveraging Azure OpenAI and Azure AI services.
• Design and implement AI-powered solutions using LLMs, RAG architectures, Agentic AI frameworks, and chatbot technologies.
• Fine-tune, evaluate, and optimize Azure OpenAI models for business-specific use cases.
• Build intelligent NLP solutions for text generation, summarization, sentiment analysis, and conversational AI.
• Deploy, monitor, and manage AI models in production environments.
• Implement prompt engineering strategies to improve model performance and response quality.
• Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
• Ensure scalability, reliability, and performance of AI applications.
• Stay current with emerging AI technologies, frameworks, and Azure ecosystem advancements.
• Troubleshoot model performance issues and deliver innovative solutions.
  
  

Required Skills & Qualifications

• 5 years of experience in Python development and AI/ML engineering.
• Strong hands-on experience with:
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI frameworks
• AI Chatbot development
• Azure OpenAI Services
• Proficiency in Python and AI/ML frameworks such as:
• PyTorch
• TensorFlow
• Hugging Face Transformers
• Experience integrating and consuming Azure OpenAI APIs.
• Strong understanding of:
• Prompt Engineering
• Data Preprocessing
• Model Evaluation and Performance Tuning
• MLOps Best Practices
• Experience with version control systems (Git) and CI/CD pipelines.
• Excellent analytical, problem-solving, and communication skills.
• Ability to explain complex AI concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience deploying AI applications on Azure cloud platforms.
• Knowledge of vector databases and semantic search technologies.
• Experience with enterprise-scale AI solution development and deployment.
• Familiarity with AI governance, monitoring, and responsible AI practices.
  
  

Mandatory Skills: Python, LLMs, RAG, Agentic AI, AI Chatbots, Azure OpenAI/Azure AI Services