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

For applications and inquiries, contact: [email protected]


Python AI Engineer

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