CTO - Entourage
London
Moonsong Labs
About EntourageWe're building the infrastructure layer that will power the next generation of AI agents. Building on the insight that code serves as a universal, learnable language for agents to interact with their environment, we are developing a protocol that enables collective learning through a shared memory layer where mutually distrusting agents can exchange and validate their experiences. This protocol transforms individual code actions, trajectories and experiences into network-wide intelligence, similar to how open source software compounds value through collaborative improvement.
As AI systems progress towards greater autonomy, the ability to learn from a larger pool of episodic experiences becomes crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability.
Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover capabilities, learn collectively, and collaborate to create value.
About Moonsong LabsProject “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.
Projects include:Kluster.ai – Decentralised optimisation platform for open-source modelsMoonbeam – EVM-compatible L1 blockchain optimised for cross-chain use casesTanssi – Decentralised AppChain infrastructure secured via Restaking
As AI systems progress towards greater autonomy, the ability to learn from a larger pool of episodic experiences becomes crucial for accelerating collective intelligence while reducing costs. This approach, combined with carefully designed token incentives and memory curation mechanisms, creates a self-reinforcing ecosystem where each agent's learning contributes to and benefits from the network's growing capability.
Our approach goes beyond existing frameworks, creating the connective tissue for the emerging agent economy where AI systems discover capabilities, learn collectively, and collaborate to create value.
About Moonsong LabsProject “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.
Projects include:Kluster.ai – Decentralised optimisation platform for open-source modelsMoonbeam – EVM-compatible L1 blockchain optimised for cross-chain use casesTanssi – 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:
- Previous experience as a Founder, CTO, VP of Engineering, or AI Scientist in AI infrastructure, with proven leadership managing multidisciplinary teams and delivering complex software platforms and AI-native products.
- Deep expertise in Generative AI, Deep Learning, Reinforcement Learning, ML fundamentals, end-to-end MLOps, AI infrastructure, and proficiency with frameworks like PyTorch.
- Active interest and experience in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, autonomous workflows, and tool integration.
- Familiarity with multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, Smolagent), communication standards (such as MCP, Story’s Agent TCP/IP, Near’s AITP), distributed systems, federated learning, distributed AI architectures, and consensus mechanisms.
- Strategic thinking about platform adoption, scalable developer ecosystems, and familiarity with Blockchain, Web3, and tokenomics (beneficial but not required).
- Postgraduate degree in a STEM field (Master’s required; PhD strongly preferred).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Architecture Blockchain Deep Learning Distributed Systems Engineering Generative AI LangChain Machine Learning ML infrastructure MLOps Open Source PhD PyTorch Reinforcement Learning Security STEM
Perks/benefits: Career development Conferences Team events
Region:
Europe
Country:
United Kingdom
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