AI Data Trainer & AI Model Optimization Engineer (AI)

Location: Prague, Czech Republic; primarily in-office work from the Prague office is required

Company

hirify.global develops technology that reshapes the data storage industry and supports intelligent enterprise data solutions.

What you will do

• Develop, train, validate, and optimize AI models for document intelligence, entity extraction, classification, information retrieval, and compliance automation.
• Build and maintain training pipelines, datasets, evaluation frameworks, and automated workflows for continuous model improvement.
• Improve SLMs, FastText classifiers, LLM-assisted workflows, and hybrid AI extraction solutions.
• Design domain intelligence frameworks for regulated industries and compliance standards including GDPR, PCI-DSS, HIPAA, and SOC 2.
• Define model quality metrics, investigate production performance issues, and improve accuracy, explainability, and operational effectiveness.
• Collaborate with Product, Engineering, and Customer Success teams and document training methodologies, model behavior, and explainability approaches.

Requirements

• Experience with NLP, document intelligence, information retrieval, or machine learning systems.
• Experience developing, training, evaluating, or optimizing models for classification, extraction, retrieval, or LLM-based workflows.
• Strong Python skills and experience with machine learning frameworks, data processing pipelines, and model evaluation.
• Experience with model training, data annotation, dataset management, MLOps, or AI lifecycle automation.
• Knowledge of transformer models, embedding models, SLMs, LLMs, RAG architectures, or prompt engineering.
• Experience with data quality, testing, validation, or model performance measurement, plus strong analytical and collaboration skills.

Nice to have

• Experience with Intelligent Document Processing platforms, OCR, document understanding, semantic search, or enterprise content management systems.
• Experience with Azure AI, AWS AI, or Google AI platforms.
• Knowledge of explainable AI, model governance, regulated-industry solutions, AI observability, automated testing, vector databases, or production AI operations.

Culture & Benefits

• Environment focused on innovation, critical thinking, and challenging technical work.
• Opportunities for professional growth and meaningful contribution.
• Collaborative, inclusive culture that values community and diverse perspectives.
• Flexible time off, wellness resources, and company-sponsored team events.