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Chief Agentic Officer Cao Scarce Labs Inc

💼 Full-time💰 $220,000–$220,000🗓 2026-07-24

Core

Architect and conductor of the SCARCE Orchestra, a production-grade multi-agent AI orchestration layer for tokenized ultra-luxury real estate and intelligent portfolio management.

Role type

Senior IC machine-learning engineer (multi-agent systems) with leadership responsibilities

Builds

Production-grade multi-agent architecture, shared memory layers, agent coordination protocols, and regulatory-grade auditability for tokenized RWA

Domain

Fintech / Tokenized Real Estate / AI Orchestration

Deliverable

production ML models

Required skills

distributed systems, event sourcing, CQRS, security (ZK/MPC/HSM), modern agent stacks (LangGraph, custom coordination layers), RAG pipelines, vector stores, scarcity economics, yield optimization

Preferred skills

domain-specific models, network effects, proprietary data integration

Technologies

LangChain, ERC-1400, tZERO, Securitize, USDC, Master/Series tokens

Responsibilities

Design and evolve core multi-agent architecture with bounded responsibilities and secure tool execution; Build production-grade orchestration infrastructure beyond wrappers; Integrate on-chain signals with off-chain intelligence; Establish regulatory-grade auditability and compliance guardrails; Lead a small team of agentic engineers and researchers; Partner with CTO to define technical vision and roadmap

Rewrite
## About the Role You are the architect and conductor of the SCARCE Orchestra — the production-grade multi-agent intelligence system that turns fragmented data, regulatory constraints, and market signals into coordinated, autonomous action. You will own the design, evolution, and reliability of the shared memory layer, agent coordination protocols, conflict resolution mechanisms, global objective optimization, and human-in-the-loop escalation paths that make the Orchestra function as a single, self-improving intelligence system. ## The Mission We are building the central nervous system for tokenized ultra-luxury real estate. SCARCE Labs is creating the world's most advanced multi-agent AI orchestration layer — the SCARCE Orchestra — for real-world asset tokenization and intelligent portfolio management. Your agents will conduct intelligence across the most exclusive assets on earth, influencing how the world's wealthiest families and institutions allocate capital into trophy real estate. ## Key Responsibilities - Design and evolve the core multi-agent architecture: specialized agents with bounded responsibilities, shared memory, structured audit logs, role-based permissions, secure tool execution, and measurable evaluation loops. - Build production-grade orchestration infrastructure beyond LangChain wrappers — custom coordination layers, dynamic task adjustment, conflict resolution, and self-correcting agent networks. - Integrate on-chain signals (ERC-1400/3643, tZERO/Securitize rails, USDC yield, Master/Series tokens) with off-chain intelligence for real-time portfolio sync, scarcity indexing, and yield optimization. - Establish regulatory-grade auditability, compliance guardrails, and human-in-the-loop controls that satisfy institutional investors, auditors, and regulators. - Lead a small, elite team of agentic engineers and researchers; shape the engineering culture around reliability, observability, and elegant system design. - Partner with the CTO and founding team to define the technical vision, roadmap, and defensibility moats (proprietary data, domain-specific models, network effects). ## Who We're Looking For You are not building another LLM wrapper. You are building the production-grade central nervous system for high-stakes, tokenized private markets. You have: - Deep, hands-on experience building and shipping production multi-agent systems at scale (not just LangChain/CrewAI setups). - Proven track record building reliable, observable, self-correcting agentic systems in regulated or high-stakes domains (fintech, healthcare, robotics, defense, or enterprise automation). - Strong engineering fundamentals — distributed systems, event sourcing, CQRS, auditability, security (ZK/MPC/HSM familiarity is a plus), and modern agent stacks (LangGraph, custom coordination layers, RAG pipelines, vector stores). - Domain intuition for tokenized RWA or scarce assets — you understand scarcity economics, yield optimization, regulatory constraints, and how autonomous agents can create asymmetric value in private markets. - Leadership & communication — you can articulate complex agentic concepts to non-technical stakeholders, lead by example, and build a high-trust, high-performance culture in a small founding team. - Seed-stage builder mindset — you thrive in ambiguity, move fast with discipline, and are excited to own both the vision and the implementation details. ## Why This Role Is Different - Unprecedented defensibility — Proprietary transaction + scarcity data, domain-specific models, regulatory-grade compliance layer, and network effects that compound with every new parcel and fund. - Direct impact on the most exclusive assets on earth — Your agents will influence how the world's wealthiest families and institutions allocate capital into trophy real estate. - Significant equity (4.0% for exceptional candidates) + potential carried interest economics in the funds the Orchestra powers. - Join an elite founding team (ex-MakerDAO/Compound, ex-The Graph, ex-Fission Labs, elite quant finance + AI systems). - Category creation — You will define what "Agentic Intelligence Platform for tokenized RWA" means. ## The Metaphor We Live By "You Are the Conductor Now." Before SCARCE, investors managed fragmented vendors, dashboards, and complexity. With the SCARCE Orchestra, you conduct intelligence — with perfect harmony. If you want to build the most elegant, powerful, and defensible agentic AI system in private markets — and own the category — we'd love to hear from you. ## How to Apply Apply on Wellfound or email [email protected] (with a note on a multi-agent system you've built or admired, and why the "Orchestra" metaphor resonates with you). In the Required Question section, please answer both of these in the answer box: - "Describe a multi-agent system you built or led that went into production. What specific architectural decisions made it reliable, observable, and self-correcting?" - "Why does the 'Orchestra' metaphor resonate with you for building agentic intelligence in tokenized private markets?" ## About the Company SCARCE Labs, Inc. is an equal opportunity employer. We are building a team that reflects the sophistication and excellence of the assets and investors we serve.
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