Senior AI Engineer - Denmark

Location: Hybrid position based in Copenhagen, Denmark; applicants must be based in Denmark and able to commute to the Copenhagen office without relocating.

Company

hirify.global operates a publishing business and develops AI-driven solutions for content and publishing workflows.

What you will do

• Build, run, and evaluate proof-of-concept and MVP initiatives for automated content creation and AI-assisted publishing.
• Develop AI applications using LLMs, APIs, orchestration frameworks, retrieval systems, automation pipelines, and agentic workflows.
• Experiment with emerging models, frameworks, tools, evaluation methods, and coding agents.
• Translate business needs into reliable technical solutions and move validated PoCs and MVPs toward production.
• Work independently, identify blockers and next steps, and report progress to the Tech Lead or AI Tech Manager.
• Collaborate with QA, product, editorial, and production teams to validate model outputs and improve system reliability.

Requirements

• Strong hands-on experience with AI/ML tools, LLMs, API integrations, and AI application development.
• Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Solid programming skills in Python and/or TypeScript.
• Practical knowledge of prompt engineering, retrieval-augmented generation, agents, workflow automation, model evaluation, and output validation.
• Experience using Codex, Cursor, Claude Code, GitHub Copilot, or similar agentic coding tools to build real software.
• English is used for interviews, and applicants must have the right to work in Denmark or indicate whether sponsorship is required.

Nice to have

• Experience with no-code or low-code automation platforms alongside clear technical implementation, coding, API integration, or system design.

Culture & Benefits

• Hands-on, pragmatic, delivery-focused engineering environment.
• Autonomous work with clear alignment to team direction and reporting lines.
• Opportunities to experiment with emerging AI technologies and learn independently.
• Hybrid work model with regular access to the Copenhagen office.

Hiring process

• Submit a CV, LinkedIn profile, and answers to application questions.
• Present documentation of a personally built AI-enabled project, prototype, workflow, pipeline, or technical solution.
• The project presentation should explain the problem, AI implementation, tools and models used, build process, outcomes, failures, and improvements.