Artificial Intelligence Engineer

Job Summary – AI Engineer

We are seeking an AI Engineer with experience building production-ready Generative AI solutions and deploying scalable AI applications in cloud environments. The ideal candidate will have strong Python development skills, hands-on experience with Azure OpenAI or other Large Language Model (LLM) platforms, API integrations, and cloudbased AI deployments. This role partners directly with business stakeholders to design AI-driven solutions focused on pricing optimization, inventory optimization, distribution network optimization, product/category management, and SKU rationalization.

Job Description

Position AI Engineer

Location Cincinnati, OH (Hybrid Preferred)

Employment Type Contract-to-Hire

Responsibilities

• Design, develop, and deploy production-grade AI and Machine Learning applications.
• Build Generative AI solutions using Azure OpenAI or comparable LLM platforms.
• Develop scalable AI services using Python and cloud-native technologies.
• Design Retrieval-Augmented Generation (RAG) architectures.
• Implement vector database solutions for semantic search and knowledge retrieval.
• Develop Agentic AI workflows and AI orchestration pipelines.
• Build and integrate REST APIs and third-party services.
• Collaborate with business stakeholders to translate business challenges into AI-driven solutions.
• Develop AI solutions for pricing optimization, inventory optimization, recommendation systems, forecasting, and supply chain optimization.
• Deploy and monitor AI applications in cloud environments.
• Optimize AI model performance, scalability, and reliability.
• Work closely with software engineering, product management, and data teams throughout the development lifecycle.

Required Qualifications

• 3–5 years of experience in AI/ML, Software Engineering, or Data Science.
• Experience building production AI applications.
• Strong Python programming skills.
• Experience with Generative AI and Large Language Models (LLMs).
• Experience with Azure AI, Azure OpenAI, or comparable LLM platforms.
• API integration experience.
• Experience deploying AI solutions in cloud environments.
• Strong problem-solving and communication skills.

Qualifications

• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS)
• Agentic AI frameworks
• MCP (Model Context Protocol) Servers
• AI orchestration platforms (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen)
• Forecasting models
• Optimization algorithms
• Recommendation engines
• Supply Chain Analytics
• Pricing Optimization