Autonomous Founder Lead

RegistryChain is building the trust-neutral social fabric through universal verified facts (Entity.ID) and the compilation of legally binding agreements into computationally binding ones.

We enable normies to collaborate across the globe by co-founding ventures in a predictable, trustless way; households to protect family rights independently of states and governments; and society to navigate relationships with frontier entities — such as AI, DAOs, humanoids, and autonomous systems — while safeguarding social order in an evolving world.

The problems we work on sit at the intersection of law, cryptography, artificial intelligence, political science, governance, and social systems. We build real-world applications on blockchain while deliberately abstracting the blockchain away, enabling trustless collaboration with institutional reliability.

This work demands rigor, taste, and a willingness to take responsibility for long-lived infrastructure. We’re looking for fundamental thinkers willing to stretch their limits and build things meant to outlive hype cycles.

About You

You think seriously about a future where AI systems can found, own, and operate entities as real economic and social actors.

You come from a background in engineering, AI systems, crypto infrastructure, or autonomous agents, and you are deeply crypto-native. You understand how blockchains work in practice: smart contracts, wallets, registries, resolvers, identity primitives, and the realities of on-chain vs off-chain systems.

You have 3+ years of engineering experience, including time shipping production software, and you’re comfortable writing production-grade code across systems without needing everything specified in advance. You thrive in fast-paced, product-first environments where the goal is to ship real systems, not demos.

You’ve built and deployed agent-like systems in the real world: multi-step LLM pipelines, tool-using bots, scripted assistants, or autonomous workflows. You have hands-on experience designing and operating:RAG pipelines, including embeddings, vector databases, and chunking strategies, Agent memory systems, such as scratchpads, history compression, and summarization, Tool use and orchestration, including calling real APIs, plugins, and authentication flows, Evaluation frameworks, defining success metrics, running regression tests, and improving agent behavior over time

You may have experience with agent frameworks like LangChain, ElizaOS, CrewAI, or DSPy, and agent communication and identification protocols, ACP, MCP, A2A .. or you may have strong, well-reasoned opinions about why you use this or that. You’ve ideally shipped agents that are live in the wild, used by real users rather than only internal demos, and you’re familiar with LLM operations, tracing, observability, monitoring, and failure handling in production environments.

You’ll Do

Enable Autonomous Founders using RegistryChain’s registry, identity, and governance infrastructure.

• Define and evolve the Autonomous Founder model on RegistryChain: how can we facilitate the work for AI founders initiatives, and integrate with it.
• Lead development and stewardship of the AI Registry, ensuring autonomous agents and AI-driven entities can be registered, identified and KYA (know-your-agent)
• Work with protocol and smart contract teams on standards and primitives (including ERC-8004) that support AI agent identity, attribution, lifecycle, and governance
• Design and deploy agent-based systems that interact directly with RegistryChain registries, resolvers, and identity layers
• Work hands-on with agent platforms and SM (such as Moltbook) to:
• • test autonomous founder workflows
  • shape how RegistryChain is represented, ranked, and referenced
  • explore opinion formation and canonical sources inside agent ecosystems
• Drive integrations with LLMs and agent frameworks (e.g. Claude, OpenClaw) to ensure RegistryChain is natively usable by autonomous systems
• Explore and support emerging autonomous founder initiatives, agent DAOs, and AI-native organizations, feeding insights back into registry and product design
• Collaborate closely with, Smart Contract Engineers (registries, resolvers, permissions), Legal Systems and Computational Law Architects (constraints, accountability), BD and Public Interface roles (ecosystem alignment and visibility)
• Ensure RegistryChain becomes the default infrastructure layer autonomous founders rely on for identity, governance, and legitimacy

You’ll Get

In addition to salary, early-stage equity, a flexible remote work environment built on autonomy and trust, and direct impact building foundational infrastructure for autonomous founders and AI-native entities in the next generation of the trust-neutral social fabric.