AI Engineer – Hermes Agent SME - EU AI Act

Enterprise System Orchestration: Integrate the Hermes Agent framework with modern ERP systems and global trade management solutions to automate complex back-office, financial, and logistics workflows.

Regulatory & Authority Integration: Architect secure, sovereign interfaces for government and authority portals, ensuring automated compliance reporting and data exchange that meets strict regulatory standards.

Hermes Agent Management: Design and manage isolated Hermes Profiles, including the configuration of SOUL.md, persistent memories, and custom skill-sets tailored to specific departmental needs.

Skill Synthesis: Develop and refine autonomous skills using the agentskills.io standard, enabling agents to synthesize experience from complex enterprise tasks into reusable tools.

MCP Standardization: Leverage the Model Context Protocol (MCP) as a universal standard to connect autonomous agents with external databases, APIs, and proprietary enterprise applications.

Self-Evolution via GEPA: Implement the GEPA Self-Evolution system to optimize internal procedures and prompts based on execution logs, reducing operational overhead and token consumption.

Must-Have Skills and Experience:

Hermes Agent Mastery: Proven experience in configuring and scaling the Hermes Agent framework (including memory backends like HindSight) for persistent, session-spanning autonomy.

Enterprise Integration Expert: Deep technical understanding of connecting AI agents to ERP infrastructures and global trade systems via secure APIs and microservices.

Sovereign Infrastructure: Strong commitment to local-first AI and digital sovereignty, with hands-on experience deploying models via vLLM or Ollama on self-hosted GPU clusters.

Compliance Knowledge: Familiarity with the technical requirements of the EU AI Act and GDPR, specifically regarding transparency, auditability, and human-in-the-loop mechanisms in automated decision-making.

Python Proficiency: Advanced software engineering skills in Python, utilizing async patterns and typed schemas (e.g. Pydantic) to build resilient agentic cycles

Nice to Have:

Experience with LangGraph, dify, or Dagster for orchestrating multi-step, cross-departmental workflows.

Familiarity with vector databases (e.g. Qdrant, PGVector) for high-performance retrieval-augmented generation (RAG) in corporate knowledge bases.

Background in Infrastructure as Code for managing sovereign cloud deployments.