Senior AI Engineer — Document Intelligence
Summary
Senior AI Engineer at Tracium (Berlin) owns the AI capabilities of a document-intelligence platform for technical documentation: building parsing/OCR/layout pipelines, LLM-based retrieval and structured extraction workflows, and evaluation of accuracy across cloud and private deployments. Core stack is Python, LLMs, and document processing.
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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