AI Engineer - Hermes Agent / BMAD

What You Will Do
Develop AI native applications that extract and process trade compliance data from central EU and member state government sources — both structured (XML, JSON, CSV, HTML tables, APIs) and unstructured (PDF documents, legal text, prose regulations, scanned publications)
Design and built AI native data pipelines that monitor, detect changes, extract, normalise, validate, and release tariff measures data to clients
Integrate AI/LLM capabilities into extraction workflows — using large language models for document understanding, entity extraction, classification, and data structuring
Design and maintain data models for customs duties, VAT/excise information, and tariff measure metadata
Ensure data quality through automated testing, benchmarking against official sources, data source and legal source comparison, and data validation pipelines
Required Technical Skills:
3+ years of professional software development
Practical experience installing, configuring, and operating Hermes Agent (the self-improving AI agent framework from Nous Research)
Must be well versed with BMAD Method( Breakthrough Method for Agile AI-Driven Development )
Proficiency in Python
Strong understanding of MCP discovery patterns and context negotiation.
Data extraction and processing — web scraping, document parsing, API integration, ETL/ELT pipelines. Must be comfortable with both: Structured data: (XML, JSON, CSV, HTML tables, databases, REST/SOAP APIs) and Unstructured data: (PDFs, legal text, prose regulations, HTML without clear structure, scanned documents)
Database design and querying — relational (PostgreSQL or similar) and/or document-based databases. Schema design, migrations, indexing
API development — building and consuming RESTful APIs
Version control — Git workflow, branching strategy, code review
Automated testing — unit, integration, and data validation tests as part of development workflow
Preferred Technical Skills:
LLM/AI API integration (OpenAI, Anthropic Claude, Google Gemini) — for data processing, document understanding, or content extraction
AI-assisted development tools (Claude Code, Cursor, GitHub Copilot, Windsurf, or similar)
NLP / document processing — OCR, text extraction, entity recognition, text classification
Graph databases (Neo4j) or vector databases (pgvector)
Observability and monitoring (SigNoz, Grafana, Langfuse, or similar)
Containerisation and deployment (Docker, CI/CD pipelines)

Work arrangement
No