You will:

• Build and improve AI-driven supplier matching (goal: 100% AI vs manual sourcing)
• Work hands-on in Python, shipping features frequently (5–6 releases/week)
• Support and de-risk the current data/ML architecture
• Collaborate directly with: Engineering Manager (Mark), CEO (Mike Martin), COO (Martin)
• Clearly explain AI behaviour, trade-offs, and limitations to non-technical stakeholders
• Improve robustness, explainability, and accuracy of NLP outputs

Skills / Experience:

• Strong Python (production-grade, not notebooks only)
• Data analytics + applied ML experience
• Natural Language Processing experience (LLMs, embeddings, classification, ranking)
• Experience working with LLM APIs (OpenAI or similar)
• Comfort working in lean startup stacks
• Behavioural / Communication
• Senior-level English (clear, confident, stakeholder-ready)
• Able to explain AI outputs to non-technical teams
• Startup mentality: pragmatic, delivery-focused, not process-heavy

Qualifications:

·       Over 5 years of strong, production-level Python experience

·       Excellent English communication skills and stakeholder confidence

·       Natural Language Processing experience (LLMs, embeddings, classification, ranking)

• Language: Python
• AI: OpenAI LLMs
• Hosting: Heroku + AWS resources
• Release cadence: 5–6 deployments per week
• Team: 4 engineers total, fully remote