Quantum World Technologies Inc.
Artificial Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in Phoenix, AZ, with a contract length of "unknown" and a pay rate of "unknown." Key skills include advanced Python, Generative AI, cloud platforms (GCP/AWS), and experience in building scalable data pipelines and AI applications.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Pipeline #Scala #Cloud #AI (Artificial Intelligence) #API (Application Programming Interface) #Data Modeling #ML (Machine Learning) #Programming #Data Engineering #Python #AWS (Amazon Web Services)
Role description
Role: AI Engineer
Location : Phoenix AZ onsite
Job description :
• We are seeking an experienced Developer / Data Engineer with strong expertise in Python, Generative AI, and Cloud platforms (GCP/AWS).
• The ideal candidate has hands-on experience designing and building scalable data pipelines, AI-driven solutions, and cloud-native applications.
• You should be up to date with the latest advancements in LLMs, AI frameworks, data engineering best practices, and modern cloud architectures, with a proven track record of delivering production-grade solutions.
• Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Prior industry experience and the ability to work in fast-paced, evolving technology environments are essential
• Experience building RAGs, Gen AI / AI / ML applications
• Experience building MCP
• Strong Python programming / coding
• Experience with LLMs
Role: AI Engineer
Location : Phoenix AZ onsite
Job description :
• We are seeking an experienced Developer / Data Engineer with strong expertise in Python, Generative AI, and Cloud platforms (GCP/AWS).
• The ideal candidate has hands-on experience designing and building scalable data pipelines, AI-driven solutions, and cloud-native applications.
• You should be up to date with the latest advancements in LLMs, AI frameworks, data engineering best practices, and modern cloud architectures, with a proven track record of delivering production-grade solutions.
• Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Prior industry experience and the ability to work in fast-paced, evolving technology environments are essential
• Experience building RAGs, Gen AI / AI / ML applications
• Experience building MCP
• Strong Python programming / coding
• Experience with LLMs
