Artificial Intelligence Engineer-NO C2C
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer focused on GenAI solutions, offering a long-term remote contract. Key skills include full-stack development, system integration, AI application patterns, agent architecture, and strong communication for business acumen.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Corp-to-Corp (C2C)
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#API (Application Programming Interface) #AI (Artificial Intelligence) #Data Orchestration
Role description
GenAI Solutions Engineer
Location: Remote
Duration: Long Term
Job Description:
• Full-Stack Development: Modern front-end frameworks, back-end technologies, API design
•
• System Integration: Experience connecting disparate systems, data orchestration, authentication
•
• AI Application Patterns: RAG architectures, prompt engineering, agent orchestration frameworks
•
• Agent Architecture: Knowledge of multi-agent systems, collaboration protocols, tool integration
•
• Reasoning & Memory: Understanding of chain-of-thought reasoning, context management, planning algorithms
•
• User Experience: Ability to design intuitive AI interfaces with appropriate feedback mechanisms
•
• Rapid Prototyping: Demonstrated ability to quickly build working demos and iterate based on feedback
•
• Business Acumen: Strong communication skills to translate between technical and business domains
GenAI Solutions Engineer
Location: Remote
Duration: Long Term
Job Description:
• Full-Stack Development: Modern front-end frameworks, back-end technologies, API design
•
• System Integration: Experience connecting disparate systems, data orchestration, authentication
•
• AI Application Patterns: RAG architectures, prompt engineering, agent orchestration frameworks
•
• Agent Architecture: Knowledge of multi-agent systems, collaboration protocols, tool integration
•
• Reasoning & Memory: Understanding of chain-of-thought reasoning, context management, planning algorithms
•
• User Experience: Ability to design intuitive AI interfaces with appropriate feedback mechanisms
•
• Rapid Prototyping: Demonstrated ability to quickly build working demos and iterate based on feedback
•
• Business Acumen: Strong communication skills to translate between technical and business domains
