Senior AI / GenAI Engineer (Input Management / Documents)

Responsibilities

For a company, we are looking for an experienced Senior AI / GenAI Engineer to help shape the digitalization and automation of the central incoming mail department. Incoming letters, forms, and receipts are scanned, automatically classified, and prepared for further processing. Using Python, OCR, and generative AI, you will develop solutions that extract, verify, and transfer relevant information from documents to the responsible business processes. You will accompany these solutions from development to productive operation. Binding SLAs for availability and processing times apply.

• Develop and operate Python applications and processing pipelines for the digital incoming mail department, from scanning to transferring structured data to downstream systems.
• Use OCR, document classification, and LLMs to recognize document types and extract information from forms, receipts, and free texts.
• Validate extracted data with business rules and plausibility checks. Forward unreadable documents and uncertain results for manual review.
• Measure the quality of extraction with representative test data and check whether changes to models or prompts improve results in live operation.
• Monitor SLA-critical processes, especially throughput times, error rates, and backlogs. Implement restart and fallback procedures for disruptions.
• Collaborate with business departments, operations, and IT security, and ensure traceability of sensitive document processing.

Requirements

• Several years of experience in developing and operating productive Python applications, including automated tests and CI/CD.
• Hands-on experience with Red Hat OpenShift in productive operation, especially with deployment, scaling, monitoring, and error analysis of containerized applications.
• Practical experience with AI-supported document processing, such as with OCR, document classification, or the extraction of structured data from unstructured documents.
• Experience with the integration and evaluation of LLMs in productive applications, especially with structured outputs and the validation of model results.
• Experience in operating business-critical systems with binding SLAs, including incident analysis and restart after disruptions.
• Experience with APIs and integration into existing enterprise systems. Knowledge in input management, digital mailroom, or with document management systems is an advantage.
• Workload: 100%
• Location: Zurich
• Start: 20.11.2026
• Duration: 3 months ++

Project details

• Start: 2026-11-20
• Duration: 3 Monate
• Remote: onsite
• Location: Zürich, Schweiz, CH
• Languages: German