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Nibiru | Remote | $72k - $85k | |||
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AI Agent Launchpad Builder
Remote - Anywhere
Engineering /
Freelance /
Remote
Apply for this job
Nibiru is seeking a skilled AI Agent Launchpad Builder to develop a robust launchpad platform capable of integrating the Eliza framework, among other frameworks for agent builders to use and facilitate a launch of a native Nibiru token.
This third-party role is ideal for experienced developers or development teams with a strong background in AI integration, DeFi, and token launches.
Responsiblities
- Develop Launchpad Platform: Build a comprehensive launchpad tailored for launching Nibiru’s native crypto token, incorporating design elements that support virtual assets and seamless user experiences.
- Facilitate Token Launch: Oversee the creation, distribution, and management of the native Nibiru token, ensuring smooth and compliant launches.
- Create Promotional Material: Develop unique NFT collections and memecoin concepts, utilizing tools like Midjourney and Sora for AI-generated art and videos.
- Run Social Media: Manage and grow your project's presence across platforms such as Twitter, Discord, and Telegram, ensuring consistent and engaging content.
- Community Management: Foster a positive and inclusive environment by engaging with community members, organizing events, and facilitating discussions.
Qualifications
- Technical Expertise: Strong proficiency in programming languages such as Solidity, Rust, or similar.
- AI Integration Skills: Experience with integrating conversational agents like Eliza or similar AI frameworks.
- Portfolio Showcase: Provide links to previous projects involving launchpad development, AI integration, or crypto token launches.
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What an AI Developer does?
An AI developer is someone who creates and builds artificial intelligence systems
Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems
Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.