Moonsong Labs is hiring a

Web3 CTO - Entourage

We're building the infrastructure layer that will power the next generation of AI agents. 

Our technology enables agents to autonomously discover how to do new things, adapting and expanding their capabilities through collective intelligence. 

As AI evolves from basic automation toward true autonomy, our blockchain-integrated infrastructure enables secure agent identity and economic transactions between specialized agents. 

Our approach goes beyond existing frameworks, creating the connective tissue for the emerging web4 era where AI systems discover capabilities, learn collectively, and collaborate to create value.

Entourage is incubated by Moonsong Labs, a cutting-edge Web3 and AI venture studio driving next-wave developer and end-user adoption. Moonsong Labs creates software infrastructure and protocols at the intersection of Web3 and AI, disrupting traditional industries, empowering individuals, and fostering a more equitable digital landscape.

Kluster.ai – Decentralised optimisation platform for open-source models

Moonbeam – EVM-compatible L1 blockchain optimised for cross-chain use cases

Tanssi – Decentralised AppChain infrastructure secured via Restaking

Your role as CTO and co-founder:

• Defining and refining technical vision, end-to-end architectures spanning AI, services, infrastructure, and data architectures, roadmaps, and key decisions on technology stacks, integrations, scalability, and security.
• Recruiting, hiring, mentoring, and managing a world-class AI development team.
• Cultivating a culture of ownership, innovation, collaboration, and continuous learning essential for the fast-moving AI agent ecosystem.
• Engaging with developers across frameworks and tech stacks to understand their needs and incorporate feedback into product development.
• Collaborating closely with the CEO, COO, Product, Biz Dev, and stakeholders to shape the platform's evolution.
• Supporting initial customer acquisition and investor conversations by articulating our unique technical approach and market vision.
• Helping build a vibrant developer community around dynamic action discovery and agent collaboration.
• Evangelising our vision and technology at conferences/events and establishing thought leadership in the agent infrastructure space.

Required Skills and Experience:

• Experience as CTO, VP of Engineering, Tech Lead or AI scientist in a company developing AI infrastructure. 
• Proven ability to build and manage multidisciplinary teams delivering complex software platforms and AI-native products.
• Deep knowledge of Generative AI, Deep Learning, Reinforcement Learning, and wider Machine Learning:
• Generative AI paradigms (including agentic architectures, model architectures, model training, model fine-tuning, and evaluation), end-to-end MLOps, and ML/DL/RL fundamentals.
• Experience with ML frameworks (PyTorch), MLOps frameworks, and AI infrastructure.
• Familiarity with agentic architectures and agent frameworks:
• Autonomous agent architectures, model-based workflows, and tool integration.
• Frameworks such as LangGraph, LangChain, CrewAI, AutoGen, and Smolagent.
• Knowledge of Web3 & tokenomics, Ethereum, and Solana (beneficial but not required).
• A vision for agent infrastructure which enables network effects and collective intelligence at scale.
• Hands-on coding experience in Python and TypeScript; Rust experience a plus.
• Demonstrable strategic thinking about platform adoption and scalable developer ecosystems.
• Strong communication and writing skills to present technical concepts clearly to diverse audiences. A portfolio of technical content is beneficial.
• Excellent attention to detail, capable of performing well under pressure and dealing with both technical and non-technical complexity.
• A postgraduate degree (Masters or a PhD (strongly preferred)) in a STEM subject.