Principal AI Engineer - Entourage

Moonsong Labs; London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A cutting-edge AI venture studio is seeking a Lead AI Engineer to spearhead the design and development of advanced AI systems that enable collective learning among autonomous agents. The ideal candidate will have deep expertise in Generative AI and multi-agent systems, alongside a proven track record of delivering complex software platforms. Join us to shape the future of AI technology!

Qualifications

• Proven track record of shipping production systems or prototypes at high velocity.
• Deep expertise in Generative AI and multi-agent systems.
• Familiarity with multi-agent frameworks and communication standards.

Responsibilities

• Lead the design and development of core AI systems.
• Architect scalable distributed infrastructure for agent experiences.
• Collaborate with the CTO on cutting-edge work in AI.

Skills

AI architectures and infrastructure

Generative AI

Multi-agent systems

Production systems delivery

Reinforcement Learning

MLOps

Education

Master’s degree in a STEM field

PhD in a relevant field

Tools

LangGraph

LangChain

AutoGen

Pydantic AI

Job description

About Entourage:

We're 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 other's 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 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.

Recent ventures include:

- Kluster.ai – Anti-hallucination platform for Machine Learning models

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

- Tanssi – Decentralised AppChain infrastructure secured via Restaking

What you'll do:

• Lead the end-to-end 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 protocol-level mechanisms for memory curation, knowledge consolidation, and token-incentivized participation across mutually distrusting agents.
• Build frameworks and tooling that allow agents to transform episodic episodic experiences and action trajectories into reusable, network-wide intelligence.
• Collaborate closely with the CTO to operationalize cutting-edge work in reinforcement learning, LLMs, and multi-agent coordination into production-grade systems.
• Define and uphold technical standards for code quality, security, reliability and scalability across the AI and protocol layers.

What you'll bring:

• Previous experience in AI architectures and infrastructure, with a proven track record of delivering complex software platforms and AI-native 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, multi-agent systems, LLMs, end-to-end 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 multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration.
• Familiarity with one or more multi-agent frameworks (such as LangGraph, LangChain, CrewAI, AutoGen, and Pydantic AI), communication standards (such as MCP, A2A, Story’s Agent TCP/IP, 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.