Senior AI Engineer

Quick Facts

• Role: Senior AI Engineer

Description

Design and develop AI services for automatic document analysis, classification, information extraction, and response generation using AI models and LLMs. Build functionality for semantic search, summarization, and simplifying document content, while continuously improving result quality through evaluation, monitoring, and optimization. Ensure scalability, performance, and high availability of AI services.

Responsibilities

• Design and develop services supporting automated analysis, classification, and processing of documents

• Create AI model solutions to extract information, interpret content, and generate answers based on documents

• Develop features for semantic search, summarization, and simplification of document content

• Implement mechanisms to increase the quality and accuracy of analysis results

• Define and implement methods to evaluate AI solution effectiveness

• Analyze result quality and identify areas for optimization

• Prepare and maintain test datasets used to verify AI service quality

• Collaborate with business experts to improve accuracy and usability of outputs

• Design reusable services used across multiple products and business processes

• Advise on AI capabilities and limitations

Requirements

• Practical experience designing and implementing AI model solutions

• Ability to evaluate LLM quality/effectiveness and continuously improve

• Knowledge of information extraction, classification, and interpretation of document-derived data

• Experience building solutions for unstructured content analysis

• Ability to define quality metrics and monitor LLM effectiveness

• Experience designing automated document processing processes

• Knowledge of document recognition, classification, and analysis

• Ability to design information structures and extraction schemas

• Ability to optimize processing quality for varied document types

• Technical higher education (e.g., Informatics/Computer Science, Electronics, Electrical Engineering)

Benefits

• Opportunity to work across diverse Software, Embedded, Data, and Cloud Services projects

• Involvement in additional pre-sales and expert initiatives

• Access to medical care, a sports card, and a cafeteria platform according to cooperation rules