AI Innovator
Cere powers decentralized data infrastructures featuring secure, sovereign, and trustless data automation ready for web3 and AI. Powered by Cere Network, made accessible through Cere’s adoption tooling and SDKs.
Projects
About Cere
Cere powers decentralized data infrastructures featuring secure, sovereign, and trustless data automation ready for web3 and AI. Powered by Cere Network, it is made accessible through Cere’s adoption tooling and SDKs. It allows apps to store data securely across a decentralized network, mitigating risks and maintaining complete data sovereignty. The Cere toolset and SDKs enable seamless implementation of its decentralized data cloud infrastructure. Cere Network is more than a simple file storage solution; its decentralized clusters allow for customization for different app use-cases. Services include decentralized content delivery for streaming data to NFT holders, secure data asset storage with Web2 dashboards, encrypted user data storage for hyper-personalization, and scalable website/app hosting.
Skills
About the Role
You will integrate agentic AI compute into distributed data clusters, design and implement data pipelines and dynamic indexing, and build AI demos (computer vision, LLMs, video, sentiment analysis). You will implement secure localized querying for AI agents, develop orchestrator components to configure triggers and engagements, collaborate with engineers on data onboarding and performant data processing, and take end-to-end ownership of features and integrations.
Requirements
- Worked closely with founders or been a founder
- Ability to build AI demos quickly (computer vision, LLMs, video, sentiment analysis)
- Interest in decentralization and Web3 systems
- Belief in data-pipelines-first AI workflows and dynamic indexing
- Hands-on experience with data pipelines and distributed systems
Responsibilities
- Take end-to-end ownership and be fully accountable
- Integrate agentic AI compute into distributed data clusters
- Design and implement data pipelines and dynamic data indexing
- Build and deliver AI demos such as computer vision, LLMs, video, and sentiment analysis
- Implement secure localized data querying for individual AI agents
- Develop orchestrator components to configure triggers and engagements
- Collaborate with engineers on data onboarding and performant data processing
- Reduce demo time-to-market and iterate quickly
- Shape the data platform architecture for AI dataflows
Benefits
- Token grants in $CERE tokens
- Customized flexible benefits and personalized offers
- Offsite and international team events (quarterly)
