About Us

Smart Reporting is a modern healthcare IT company revolutionizing the way radiologists create and manage clinical reports. Our platform empowers radiology professionals with structured reporting tools that increase efficiency, improve diagnostic quality, and enable data-driven insights. With over 150 employees and a presence in leading healthcare systems, we're growing fast, and so are our ambitions.

We are looking for a Senior AI Engineer (all genders) to help shape the next generation of our intelligent reporting solutions by integrating cutting-edge AI/NLP technologies directly into clinical workflows.

This role can be based in Munich, Germany or Pittsburgh, PA, United States with up to 100% Remote possible for both locations.

Your Role

As a Senior AI Engineer, you will be at the forefront of building AI-powered features that enable smarter and more intuitive radiology reporting. You will drive initiatives such as:

Summarization: Design models that can synthesize free-text and structured content (e.g., findings, clinical context) into concise diagnostic impressions
Clinical Note Consistency Checks: Build models to identify and flag inconsistencies in reports (e.g., laterality errors, body part mismatches, gender inconsistencies)
Conversational and Natural Speech Input: Develop solutions to allow radiologists to informally describe cases and convert them into clinical semi-structured reports

You will collaborate closely with a team of product managers, UX designers, medical doctors, and AI/software engineers who deeply understand the clinical workflow: as the seniormost AI expert, your mentorship and ability to explain complex ideas simply are essential.

Your Responsibilities

Drive the design and implementation of AI/NLP features for clinical reporting in close collaboration with product and engineering teams
Build and integrate LLM-based systems into our product suite
Fine-tune and evaluate models using approaches such as LoRA, instruction tuning, and parameter-efficient tuning
Apply classical NLP techniques (e.g., BERT, NER, text classification) where appropriate
Translate research and theory into practical applications in production
Collaborate cross-functionally with engineers, clinicians, and product teams
Mentor and support software developers to grow AI/ML skills across the company

Requirements

Your Profile

Strong background in Machine Learning, specifically NLP
Hands-on experience with LLM-based systems, e.g. fine-tuning and prompt engineering
Familiarity with transformer-based models (e.g., BERT, RoBERTa, GPT, T5)
Proficiency in Python and machine learning frameworks (e.g., PyTorch, Hugging Face, TensorFlow)
Experience developing production-grade ML/NLP pipelines, including monitoring and validation
Ideally, experience with modern web tooling (e.g., Typescript, React)
Ideally, prior exposure to healthcare or radiology-related data/workflows and their challenges
Strong interpersonal skills and ability to communicate clearly with non-AI experts
Fluent in English; German is a plus but not required

Benefits

Opportunity to work on impactful healthcare applications used in real clinical workflows
A dynamic, supportive, and international work environment
Flat hierarchies and room to take ownership of projects
Individual development budget to support your professional growth
Flexible working hours and up to 100% Remote work possible
Competitive compensation and benefits package

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