Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer with 5+ years in AI, end-to-end application development, strong Python, and GCP experience. Contract length and pay rate are unspecified. Experience with React is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dearborn, MI
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🧠 - Skills detailed
#SQL (Structured Query Language) #Automation #NLP (Natural Language Processing) #React #Programming #AI (Artificial Intelligence) #Python #Langchain #GCP (Google Cloud Platform)
Role description
Must Haves:
• 5+ years of hands-on experience in Artificial Intelligence
• End-to-end AI application development exp (e.g., LangChain, chatbot creation, scaling, operational maintenance)
• Strong Python programming skills; capable of independently building and maintaining pipelines
• GCP
Plus:
• React
Insight Global is looking for an AI Engineer to help develop a new AI-powered application that enhances search functionality and optimizes result relevance. This candidate will translate business requirements into AI models and algorithms to solve complex problems, generate recommendations, and enable automation. This candidate will also develop data-driven applications that convert large-scale data into actionable intelligence. Research and optimize AI technologies to improve efficiency and accuracy and apply tools and frameworks such as RAG, LangGraph, NLP-to-SQL, ADK, and A2A.
Must Haves:
• 5+ years of hands-on experience in Artificial Intelligence
• End-to-end AI application development exp (e.g., LangChain, chatbot creation, scaling, operational maintenance)
• Strong Python programming skills; capable of independently building and maintaining pipelines
• GCP
Plus:
• React
Insight Global is looking for an AI Engineer to help develop a new AI-powered application that enhances search functionality and optimizes result relevance. This candidate will translate business requirements into AI models and algorithms to solve complex problems, generate recommendations, and enable automation. This candidate will also develop data-driven applications that convert large-scale data into actionable intelligence. Research and optimize AI technologies to improve efficiency and accuracy and apply tools and frameworks such as RAG, LangGraph, NLP-to-SQL, ADK, and A2A.
