AI & Blockchain System Architect
Vacancy Description
We are looking for a skilled AI Blockchain System Architect to design and oversee the development of a cutting-edge blockchain-based platform that leverages decentralized GPU computing, AI models, and intelligent agents to create a scalable and transparent environment for AI model training and execution.
Requirements
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Deep knowledge of AI and ML, particularly integrating models into blockchain environments.
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Experience designing AI computation architecture for distributed and decentralized environments.
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Expertise in on-chain and off-chain AI models, their execution, and validation.
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Understanding of AI-oriented smart contracts and their interaction with blockchain.
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Strong grasp of machine learning algorithms, inference, and distributed computing.
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Experience in optimizing AI infrastructure for constrained blockchain environments (e.g., WASM, GPU acceleration).
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Knowledge of decentralized AI agents capable of autonomous computations.
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Familiarity with zero-knowledge proofs (ZKPs) and cryptographic verification of AI execution.
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English: Upper-intermediate
Would be a plus
- Experience with generative AI models (LLMs, Diffusion Models, RLHF).
- Optimization of AI models for constrained and distributed computing (TinyML, Federated Learning).
- Integration of AI computation proofs into blockchain (e.g., zkML).
- Development of AI marketplaces and AI-integrated APIs.
Responsibilities
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Design, develop, and implement blockchain solutions using C# and .NET, following clean code principles.
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Collaborate with the team to define project requirements and architecture for blockchain-based applications.
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Perform code reviews and ensure the quality and security of the developed software;
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Develop and maintain tests for components;
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Collaborate with other developers and stakeholders to identify and implement improvements.
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Design a decentralized AI infrastructure with GPU computing and AI agents.
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Architect and optimize blockchain integration for AI models, ensuring scalability and security.
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Distribute computational workloads between on-chain and off-chain environments for efficiency.
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Define and implement engineering standards for the development team.
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Audit and enhance system performance for AI execution in a Web3 environment.
What We Offer
Competitive compensation
Social package (24 working days of annual leave and 5 paid sick days)
Flexible working hours
Challenging projects in diverse business domains and a variety of tech stacks
Personal development and professional growth opportunities
Work with talented, ambitious and family-feel team
Educational possibilities: corporate courses, knowledge hubs, and in-house English classes
Compensation for your professional certification & support for your learning activities
Opportunity to choose IT equipment you like
Corporate social responsibility
Would you like to join us?
Please send your resume for our review, and we will be in touch with you soon.