Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer (12 months, remote) focusing on Generative AI. Required skills include React.js for front-end and JavaScript, Python, and Generative AI experience for full-stack positions. Priority given to Anthropic Claude experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
May 21, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#YAML (YAML Ain't Markup Language) #AI (Artificial Intelligence) #REST (Representational State Transfer) #Python #AWS (Amazon Web Services) #REST API #JavaScript #API (Application Programming Interface) #React #JSON (JavaScript Object Notation)
Role description
Job Title: AI Engineers (3 Openings) – Generative AI Focus Location: Remote Duration: 12 Months (with possible extension) Open Roles Breakdown: 1. Front-End Focused AI Engineer (1 Opening): Key Skills: β€’ React.js (Must Have) β€’ Generative AI product development (Must Have) β€’ Experience building user interfaces for AI-driven applications β€’ Responsibilities: β€’ Develop and maintain the UI layer for internal Generative AI tools β€’ Work with pre-approved mockups to build production-ready interfaces β€’ Collaborate with backend and AI teams to ensure seamless integration 1. Full Stack AI Engineers (2 Openings): Key Skills: β€’ Generative AI development experience (chatbots, AI agents, etc.) β€’ Anthropic Claude (Highly Preferred – Priority Given) β€’ JavaScript, Python β€’ REST API development β€’ AWS (Bedrock), JSON, YAML β€’ Nice to Have: β€’ WebSocket configuration experience β€’ Responsibilities: β€’ Build and maintain backend infrastructure and APIs for internal GPT tools β€’ Deploy and manage AI models in a production environment β€’ Collaborate on the evolution of the AI Common Platform and integration with enterprise systems β€’ Participate in full software development lifecycle from proof-of-concept to production