About the job

AI Engineer – OCR | Document Intelligence | Azure AI | LLMs

Frankfurt Metropolitan Area, Germany | €80,000–€90,000 gross per annum | PermanentWe are looking for an experienced AI Engineer with deep commercial expertise in OCR, Intelligent Document Processing and Document Intelligence to join an established international SaaS technology business.

This is not a general software engineering role with some AI exposure.

We are looking for someone whose career has genuinely been built around Artificial Intelligence and Machine Learning, with particular strength in OCR, document understanding, data extraction and intelligent automation.

You should have a minimum of 3 years' dedicated commercial AI/ML engineering experience, ideally 5+ years, and be able to demonstrate that AI has been a core part of your professional career rather than a recent pivot.

The focus of the roleThe primary focus will be designing, developing and improving production-grade OCR and intelligent document-processing solutions within enterprise SaaS products.

• You will work on technologies and challenges including:OCR and Intelligent Document Processing
• Azure Document Intelligence / Form Recognizer
• Custom OCR models and document extraction pipelines
• Document classification and data extraction
• Structured and unstructured document processing
• Image preprocessing and OCR optimisation
• Extraction accuracy and confidence scoring
• Document validation and exception handling
• Machine Learning models for classification and anomaly detection
• LLM-enhanced document understanding
• Retrieval-Augmented Generation (RAG)
• Vector databases and semantic search
• Azure AI Services and Azure Machine Learning
• Production AI pipelines and APIs

You will be responsible for taking complex document-processing problems and turning them into reliable, scalable AI solutions used within commercial SaaS products.

• What we needYou should have:Minimum 3 years' dedicated commercial AI/ML engineering experience — ideally 5+ years
• Strong hands-on experience building OCR and document-processing systems
• Commercial experience with Azure Document Intelligence, Azure AI Services or equivalent OCR platforms
• Experience developing or improving custom OCR models
• Strong understanding of document classification, extraction and validation
• Experience improving OCR accuracy across complex or inconsistent document formats
• Experience with image preprocessing and document-quality optimisation
• Strong understanding of machine learning model training, tuning, evaluation and deployment
• Strong Python development skills
• Experience with technologies such as PyTorch, TensorFlow, Transformers, LangChain or equivalent
• Experience integrating AI solutions with APIs, databases and enterprise SaaS platforms
• Knowledge of LLMs, prompt engineering, RAG architectures and vector databases
• Experience taking AI solutions beyond proof-of-concept into production environments
• Strong commercial and business understanding — you should be able to understand the problem being solved, not simply the technology being used

Academic background

We are particularly interested in candidates with a strong academic foundation in AI and Machine Learning.

• Ideally you will hold a:Degree or Master's in Artificial Intelligence
• Machine Learning
• Computer Science
• Data Science
• Computational Mathematics
• Or a closely related technical discipline

Equivalent high-level industry expertise will also be considered where you can demonstrate substantial commercial AI experience.

AI and Generative AI Engineer with over two years of experience designing, building, and deploying production-grade Large Language Model systems, AI agents, and Retrieval-Augmented Generation pipelines. Skilled in LangChain, LangGraph, Hugging Face, FastAPI, and multi-agent architectures, having delivered 4+ production applications while reducing AI workflow latency by approximately 30 percent and improving accuracy by approximately 35 percent. Brings strong enterprise engineering discipline from Accenture, having supported 25 or more projects with up to 80 percent process automation, combined with a solid foundation in deep learning, vector search, and cloud-based deployment. Holds a Master of Science in Applied Artificial Intelligence from Cranfield University, United Kingdom, and is available to join immediately.