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Description review

Senior AI Engineer — Document Intelligence

Tracium GmbH · Berlin · back to the listing

HR standards

69/100

needs work

Title ↔ description

83/100

solid

Reads as

Machine Learning Engineer

100% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

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What the listing never says

  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

About Tracium

https://www.linkedin.com/company/tracium/

Tracium builds AI-assisted technical documentation software that turns complex manuals and engineering documents into structured, traceable information. Our initial focus is maritime, with applications across manufacturing, aerospace, and defence.

We combine document intelligence with S1000D authoring to help technical teams extract maintenance information, create documentation, and verify AI-generated suggestions against their sources.

Your role

You will own the AI capabilities behind our document intelligence platform—from understanding complex PDFs to extracting information that engineers can review and use.

What you’ll do

• Build pipelines for document parsing, OCR, layout understanding, and extraction from text, tables, and diagrams.

• Develop retrieval and AI workflows for technical question answering and maintenance information extraction.

• Design structured outputs with validation and references to source documents.

• Build evaluation datasets and measure extraction accuracy, retrieval quality, and unsupported outputs.

• Improve model performance, processing speed, and cost across cloud and private deployments.

• Work with product and engineering colleagues to bring prototypes into production.

What you bring

• Experience delivering AI or machine learning systems into production.

• Strong Python and software engineering skills.

• Practical experience with LLMs, structured extraction, retrieval, and evaluation.

• An understanding of document processing challenges, including imperfect scans and complex layouts.

• The ability to investigate failures systematically and make clear technical trade-offs.

• Clear communication in English.

Useful additional experience

• Technical manuals, industrial documentation

• Multimodal models, open-source model deployment, or GPU inference.

• Private, on-premises, or restricted-network environments.

Why join Tracium?

Help shape the core AI architecture of an early-stage product, work directly with the founders, and solve document problems with clear operational value.

Follow our journey
Follow Tracium on LinkedIn https://www.linkedin.com/company/tracium/ for product updates, engineering insights, and future opportunities.

Apply

Apply with the button on the page, attach your CV or professional profile and a brief example of an AI system you have built. Public repositories, demos, or a short technical write-up are welcome.

We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply.

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