Artificial Intelligence Engineer

Job Title: AI Engineer

Location: Krakow, Poland (Hybrid: 2-3 Days onsite every week)

Duration: 6 Months (Extendable)

Employment Type: Contract B2B

Roles & Responsibilities:

We are seeking a highly skilled and motivated AI Engineer to join our growing team. The ideal candidate will have hands-on experience in Generative AI-based content search and extraction, computer vision, and AI agents, with a strong foundation in both structured and unstructured data processing. You will contribute to the development of intelligent systems that leverage cutting-edge machine learning techniques and open-source tools to solve real-world problems.

Key Responsibilities:

• Design and implement AI solutions for content search and extraction using Generative AI models.
• Develop and optimize pipelines for processing structured and unstructured documents, including PDFs, scanned images, and text files.
• Apply computer vision techniques such as object detection and image classification to extract meaningful insights from visual data.
• Integrate and customize open-source OCR tools (e.g., Tesseract, EasyOCR) for document understanding.
• Build and deploy AI agents capable of autonomous decision-making and task execution.
• Utilize conventional machine learning algorithms and open-source frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) for model development.
• Collaborate with MLOps teams to ensure scalable and maintainable deployment of ML models.
• Optionally contribute to web-based AI applications using modern web technologies.
• Communicate effectively with cross-functional teams and stakeholders to translate business requirements into technical solutions.

Required Qualifications:

• Proven experience in Generative AI applications, especially in content search and extraction.
• Strong background in computer vision, including object detection and image processing.
• Hands-on experience with structured and unstructured data formats.
• Familiarity with AI agents and autonomous systems.
• Proficiency in open-source OCR tools and techniques.
• Solid understanding of conventional ML techniques and open-source libraries.
• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, CI/CD).