Senior AI Engineer - Build Production-Grade Document AI

Tracium GmbH; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Tracium GmbH is seeking an experienced AI/ML Engineer to own the capabilities behind our document intelligence platform for complex manuals and engineering documents. You will drive extraction, validation, and production-ready AI workflows, collaborating with product and engineering teams.

The role emphasizes building robust pipelines, dealing with imperfect scans and complex layouts, and optimizing performance across environments. Strong Python and ML production experience are essential.

Qualifications

• Experience delivering AI or machine learning systems into production.
• Strong Python and software engineering skills.
• Practical experience with LLMs, structured extraction, retrieval, and evaluation.

Responsibilities

• 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.

Skills

Python

ML in production

Software engineering

English communication

Education

Bachelor's degree in CS or related field

Tools

PyTorch

Open-source ML frameworks

Job description

Tracium GmbH is seeking an experienced AI/ML Engineer to own the capabilities behind our document intelligence platform for complex manuals and engineering documents. You will drive extraction, validation, and production-ready AI workflows, collaborating with product and engineering teams.

The role emphasizes building robust pipelines, dealing with imperfect scans and complex layouts, and optimizing performance across environments. Strong Python and ML production experience are essential.