AI Engineer - Methods

**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 **any** of the following Method: 1. BMAD ( Breakthrough Method for Agile AI-Driven Development ) 2. Spec-Driven Development ( SDD ) 3. Open-Sec 4. Github Spec Kit * Proficiency in at least two programming languages — e.g., Python, JavaScript/TypeScript, Java, Go, C#, Rust, Kotlin, or similar. We value strong fundamentals over specific language experience * 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 * 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 * Self-sufficiency – ability to analyse, design and build complete solution * Rapid development – segment development into phasing to get results faster * Influencer – demonstrate approach to other team members to lift group maturity * Communication – can work with technical, business and project team members, participates in and leads discussion **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)