Role Summary:
- We are seeking an innovative AI Developer to design, build, and deploy intelligent systems using a spec-driven development approach and frameworks like BMAD.
- In this role, you will transform detailed specifications into robust, traceable, and production-ready AI solutions, reducing trial-and-error and accelerating delivery.
- You will collaborate closely with product managers, data scientists, and engineers to ensure every feature is aligned with business goals, auditable, and scalable.
- This is a senior-level position requiring independent architecture and delivery decisions.
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 build AI native data pipelines that monitor, detect changes, extract, normalize, 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 methods: BMAD (Breakthrough Method for Agile AI-Driven Development), Github Spec Kit, OpenSec, or Spec-Driven Development (SDD).
- Proficiency in at least two programming languages, such as Python, JavaScript/TypeScript, Java, Go, C#, Rust, Kotlin, or similar.
- Data extraction and processing, including web scraping, document parsing, API integration, and ETL/ELT pipelines.
- Experience with structured data, including XML, JSON, CSV, HTML tables, databases, and REST/SOAP APIs.
- Experience with unstructured data, including PDFs, legal text, prose regulations, HTML without clear structure, and scanned documents.
- Database design and querying, including relational (PostgreSQL or similar) and document-based databases, schema design, migrations, and indexing.
- API development, including building and consuming RESTful APIs.
- Version control, including Git workflow, branching strategy, and code review.
- Automated testing, including unit, integration, and data validation tests as part of the development workflow.
- Self-sufficiency, including the ability to analyze, design, and build complete solutions.
- Rapid development, including segmenting development into phasing to get results faster.
- Influencer, including demonstrating approaches to other team members to lift group maturity.
- Communication, including the ability to work with technical, business, and project team members, and participating in and leading discussions.