Principal Engineer – Hermes Agent SME

Key Responsibilities: 1. 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. 2. Regulatory & Authority Integration: Architect secure, sovereign interfaces for government and authority portals, ensuring automated compliance reporting and data exchange that meets strict regulatory standards. 3. 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. 4. Skill Synthesis: Develop and refine autonomous skills using the agentskills.io standard, enabling agents to synthesize experience from complex enterprise tasks into reusable tools. 5. MCP Standardization: Leverage the Model Context Protocol (MCP) as a universal standard to connect autonomous agents with external databases, APIs, and proprietary enterprise applications. 6. 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:** 1. **Hermes Agent Mastery**: Proven experience in configuring and scaling the Hermes Agent framework (including memory backends like HindSight) for persistent, session-spanning autonomy. 2. **Enterprise Integration Expert**: Deep technical understanding of connecting AI agents to ERP infrastructures and global trade systems via secure APIs and microservices. 3. **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. 4. **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. 5. **** 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.