Senior Data / Platform Engineer (AI, AWS, Azure, GCP)

Your skills and experience

Must-have

• Proficient in English in all four skills.
• Experience: 5+ years software/data engineering, including meaningful production LLM work. (Nobody has 5 years of LLM tooling experience — we screen for total engineering depth plus recent LLM-first delivery.)
• Claude — required: Hands-on with Anthropic Claude: Claude API, tool use / MCP integrations, agentic workflows (e.g. Claude Code). Candidates must be able to walk through systems they have built with it.
• LLM-first mindset: Defaults to model-based approaches for extraction, classification and entity resolution — treats LLMs as the primary tool, not an add-on to traditional pipelines. Tested directly in the work sample.
• Platform skills: Production data pipelines; cloud (AWS/Azure/GCP, EU regions); judgment with messy, real-world data; security-conscious engineering.
• Working style: Able to own architecture end-to-end without supervision; documents as they build; professional working English (daily contact with Denmark).

Nice-to-have:

• Vector stores / RAG at scale
• GDPR-aware engineering, EU data transfers
• speech-to-text pipelines
• maritime, logistics or B2B sales-tech domain exposure.

Why you'll love working here

• USD x,000–x,000 gross/month (negotiable for exceptional candidates)
• 13th-month salary + statutory insurance
• equipment and tooling budget
• founding-team role with direct Group-CEO exposure.