Senior Applied AI Engineer (Remote)

Copenhagen, Capital Region
Posted 4 days, 8 hours ago
Software Development

About the role

Job summary

This role involves shaping the development of AI-powered product features by collaborating with software engineers, data engineers, and data scientists. The focus is on leveraging extensive spend data to create valuable product enhancements for customers.

Qualifications

  • Proven experience in delivering customer-facing AI features using LLMs in production environments.
  • Deep practical knowledge of RAG system design and the complete retrieval pipeline, including embedding models and vector databases.
  • Experience in building evaluation frameworks for LLM-based systems to ensure quality.
  • Strong Python programming skills, with a focus on production-grade, tested, and maintainable code.
  • Familiarity with building APIs and data retrieval pipelines.
  • Ability to reason about data quality and architecture independently.
  • Experience with agentic system patterns and public cloud providers (AWS, GCP).
  • Willingness to work with Kotlin components as needed.

Responsibilities

  • Build and ship AI-powered product features, managing outcomes from start to finish.
  • Design and implement end-to-end RAG systems for specific use cases.
  • Oversee the entire AI product lifecycle, including prompt design and safe production deployment.
  • Create evaluation datasets and automated evaluation pipelines to ensure feature quality.
  • Implement observability for AI features, including logging and quality monitoring.
  • Collaborate with Product and Design teams to define AI features from first principles.
  • Partner with the GenAI Platform team to identify infrastructure needs and promote platform tooling adoption.
  • Provide technical leadership and support to other engineers through reviews and collaboration.

Skills

  • Strong product instincts with a user-centric approach.
  • In-depth understanding of LLMOps, data retrieval, and model evaluation in production.
  • Ability to communicate AI trade-offs to non-technical stakeholders.

Education

  • Relevant experience in AI engineering or a related field is preferred.
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