Senior AI Engineer - Denmark
Our Take
Senior AI Engineer in Copenhagen building and improving practical AI-driven solutions for the publishing business.
What you’ll do
- Build, run, and evaluate proof-of-concept and MVP initiatives for automated content creation and AI-assisted publishing workflows
- Develop practical AI solutions using LLMs, APIs, orchestration frameworks, retrieval systems, automation pipelines, and agentic workflows
- Experiment quickly with new tools, frameworks, models, and technical approaches
- Translate business needs into working technical solutions with a focus on reliability, speed, and measurable value
- Take ownership of assigned technical tasks and move work forward without constant supervision
- Identify opportunities, blockers, and next steps proactively
- Report progress clearly to the Tech Lead / AI Tech Manager and stay aligned with agreed priorities, processes, and reporting lines
- Work closely with QA, product, editorial, and production teams to validate model outputs and improve reliability
What they’re looking for
- Familiarity with LLMs, APIs, agentic workflows, and frameworks like LangChain, LangGraph, or LlamaIndex
- Comfortable using modern agentic coding tools such as Codex, Cursor, Claude Code, or GitHub Copilot
- Ability to build, test, and improve AI-driven solutions for the publishing business
- Technically strong, curious, and independent
- Comfortable working with emerging AI technologies
Skills & Focus Areas
- LLMs
- APIs
- LangChain
- LangGraph
- LlamaIndex
- agentic workflows
- Codex
- Cursor
- Claude Code
- GitHub Copilot
As posted by Better Collective
We are looking for a hands-on AI Engineer to build, test, and improve AI-driven solutions for the publishing business.
This is a practical technical role. We are not looking for someone who only talks about AI strategy, builds simple no-code automations, or experiments with visual app builders. We are looking for someone who can turn ideas into working software, test things quickly, and help move useful AI solutions toward production.
The ideal candidate is technically strong, curious, independent, and comfortable working with emerging AI technologies. You should be familiar with LLMs, APIs, agentic workflows, and frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools.
You should also be comfortable using modern agentic coding tools such as Codex, Cursor, Claude Code, GitHub Copilot, or similar systems as part of your development workflow.
What You Will Do
Build, run, and evaluate proof-of-concept and MVP initiatives, especially within automated content creation and AI-assisted publishing workflows.
Develop practical AI solutions using LLMs, APIs, orchestration frameworks, retrieval systems, automation pipelines, and agentic workflows.
Experiment quickly with new tools, frameworks, models, and technical approaches.
Translate business needs into working technical solutions with a focus on reliability, speed, and measurable value.
Take ownership of assigned technical tasks and move work forward without constant supervision.
Identify opportunities, blockers, and next steps proactively.
Report progress clearly to the Tech Lead / AI Tech Manager and stay aligned with agreed priorities, processes, and reporting lines.
Work closely with QA, product, editorial, and production teams to validate model outputs and improve reliability.
Support the handover of validated PoCs and MVPs into production-ready solutions.
Stay current with emerging AI frameworks, LLM capabilities, coding agents, evaluation methods, and AI engineering best practices.