zerohash provides API-first technology and turnkey regulatory infrastructure to launch and scale compliant crypto and stablecoin products quickly and securely.
About the role
zerohash's Applied AI team manages two fronts: an internal Intelligence Core (a system connectivity and control layer) and external agentic-commerce products. This role acts as the engineering backbone for both—building the access layer, audit logging, skills/agents, and system architecture. The Applied AI team builds the Intelligence Core itself. Engineering maintains platform accounts, event hooks, and retrieval layers; this role builds everything above them. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Senior, Python-first backend engineering with production experience in event-driven systems, API integration, and CI/CD
- Agent-system experience — composing LLM agents (Claude, GPT, or comparable, Bedrock or comparable platforms) into standing systems — with the judgment to keep the models at the edges and the control plane deterministic
- Demonstrate security-first habits in a regulated environment (MSB/VASP, bank, or comparable): least privilege and read-only as reflexes, not requirements to be reminded of
- Working familiarity with capability-based authorization: attenuable tokens, workload identity, policy-as-code
More about this role
zerohash's Applied AI team manages two fronts: an internal Intelligence Core (a system connectivity and control layer) and external agentic-commerce products. This role acts as the engineering backbone for both—building the access layer, audit logging, skills/agents, and system architecture. The Applied AI team builds the Intelligence Core itself. Engineering maintains platform accounts, event hooks, and retrieval layers; this role builds everything above them.
Core objective: Connect company systems securely, and produce records of agent action that a third party can verify.
Strategic importance: The internal build acts as a sandbox for agentic commerce products. Identity, authority, write permissions, and tamper-evident logging will be proven internally before powering multi-institutional agentic networks.
- Own the access layer (native connectors, MCP servers, Databricks US/EU) using short-lived tokens, least-privilege read-only access, and zero raw PII while enforcing data residency.
- Define a versioned schema for two signed record types of credentials and action records, in one namespace so each can be checked against the other.
- Establish build discipline early: deployment...
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