Offer summary

Qualifications:

Postgraduate degree in a STEM field, preferably a PhD or Master's., Deep expertise in Generative AI, multi-agent systems, and LLMs., Proven experience in developing complex AI architectures and infrastructure., Ability to lead and supervise engineering and AI research teams..

Key responsibilities:

Lead design and development of core AI systems for collective learning.

Architect scalable distributed infrastructure for agent experience management.

Innovate in protocol mechanisms for memory curation and knowledge sharing.

Collaborate with the CTO to operationalize cutting-edge AI research into production.

About Entourage:

Were building the infrastructure layer that will power the next generation of AI agents: collective intelligence. Entourage is a shared memory protocol that lets AI agents learn from each others discoveries, building collective intelligence that gets smarter with every interaction. We capture successful workflows, assimilate patterns, and enable instant retrieval so that agents never have to solve the same problem repeatedly. Our approach goes beyond existing agent frameworks, creating the connective tissue for the emerging agent economy where AI systems discover capabilities, learn collectively, and collaborate to create value.

About Moonsong Labs:

Entourage has been incubated by Moonsong Labs, a cuttingedge Web3 and AI venture studio driving nextwave developer and enduser 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.

Recent ventures include:

Kluster.ai – Antihallucination platform for Machine Learning models

Moonbeam – EVMcompatible L1 blockchain optimised for crosschain use cases

Tanssi – Decentralised AppChain infrastructure secured via Restaking

What youll do:Lead the endtoend design and development of core AI systems that enable collective learning and shared memory among autonomous agents.
Architect and implement scalable distributed infrastructure for capturing, validating, and surfacing agent experiences across complex networks at scale..
Drive innovation in protocollevel mechanisms for memory curation, knowledge consolidation, and tokenincentivized participation across mutually distrusting agents.
Build frameworks and tooling that allow agents to transform episodic episodic experiences and action trajectories into reusable, networkwide intelligence.
Collaborate closely with the CTO to operationalize cuttingedge work in reinforcement learning, LLMs, and multiagent coordination into productiongrade systems.
Define and uphold technical standards for code quality, security, reliability and scalability across the AI and protocol layers.

What youll bring:
Previous experience in AI architectures and infrastructure, with a proven track record of delivering complex software platforms and AInative products.
Proven track record of shipping production systems or prototypes at high velocity, ideally in startup or research contexts where speed and adaptability are paramount.
Deep expertise in Generative AI, multiagent systems, LLMs, endtoend MLOps, and AI infrastructure. Exposure to Deep Learning, Reinforcement Learning, federated learning, AI evaluation or ML fundamentals is highly beneficial.
Active interest and awareness of SOTA in multiagent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration.
Familiarity with one or more multiagent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story’s Agent TCPIP, Near’s AITP), distributed systems, distributed AI architectures, and consensus mechanisms.
Ability to lead and supervise other engineers and AI scientists; this role is expected to grow into a leadership position and is not limited to individual contribution.
Strategic thinking about platform adoption, scalable developer ecosystems, and familiarity with the Blockchain, Web3, and tokenomics (beneficial but not required).
Postgraduate degree in a STEM field (Master’s required; PhD strongly preferred).
Ready to Shape the Future? Join Us Today! Equal Opportunity is the law, and at Moonsong Labs, we are ardently committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you have a specific need that requires accommodation, please let us know.