About the role:
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.
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).
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.
Principal responsibilities:
- Building production-ready models to drive content extraction and classification from images and text-based sources.
- Working closely with business teams to understand requirements and iteratively design and develop solutions.
- Collaborative with product managers, technical teams.
- Create, test and iterate new and existing products and features.
- Designing and building Python/ML/OCR-based components.
- Not only supporting the development of the product, but also the full lifecycle including the deployment, testing and production support of the application.
Required experience:
- Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes.
- Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives.
- Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents.
- Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs.
Nice to Have:
- Experience using PostgreSQL for data storage and management.
- Proficiency with Azure's core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps
- Experience delivering in teams releasing at a high cadence to production.
Key Skills
Ranked by relevance
Related Jobs
3 roles aligned with this opportunity
AI Engineer - DDAI
2026-05-20
AI Engineer
2026-05-20
- Posted
- Jul 21, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- Cracow
- Company
- MPower Plus
Industries
Categories
Related Jobs
3 roles aligned with this opportunity
AI Engineer - DDAI
2026-05-20
AI Engineer
2026-05-20