Software Engineer (Data & AI) – Healthcare
Tech Stack / Keywords
Firma i stanowisko
datarabbit.ai is a data and AI partner for healthcare and life sciences organizations, designing and delivering production-grade data and AI systems for medical devices, hospitals, life sciences, and pharma across the EU and US. They build production-grade, compliant, and secure healthcare AI solutions including NLP/LLM documentation automation, frontier imaging models, and cloud-agnostic MLOps platforms with over 20 projects delivered.
Wymagania
- 3+ years of experience in software and ML/AI engineering.
- Problem-solving mindset with ability to engage deeply with clients' business needs.
- Active use of LLMs, AI agents, and frontier AI tooling in daily work.
- Authentic interest in healthcare technology and its impact on patient care.
- Full-stack engineering skills centered on Python and AI, including infrastructure, data pipelines, and cloud.
Nice to have:
- Knowledge of healthcare standards and systems (e.g., HL7/FHIR, DICOM, Nextflow).
- Experience with classical ML, deep learning frameworks, and modern LLM stacks.
- Experience with data engineering and workflow orchestration tools (e.g., Airflow, Prefect).
- Strong cloud skills, preferably AWS, but Azure/GCP also welcome.
- Bachelor’s, Master’s, or PhD in CS, Biomedical Engineering, Electrical & Computer Engineering, or related.
- Public portfolio or GitHub account.
Obowiązki
- Design and implement components of healthcare AI systems, including documentation automation and data extraction from clinical notes.
- Collaborate in short daily sync meetings with project teams and medical advisors.
- Develop, deploy, and maintain production-grade AI models and data pipelines.
- Submit code changes with tests and document reusable components in shared libraries.
- Participate in team knowledge sharing sessions and project updates.
- Take ownership of components and project streams over time, including client communication and architectural decisions.
Benefity
- Opportunity to work on production systems impacting patients, public health, and research.
- Early adoption of new AI models and tools without lengthy approval processes.
- Full end-to-end ownership involving ML, infrastructure, data, and user-facing applications.
- Direct influence on projects and company direction.
- Fully remote work with flexible hours.
- Dedicated training budget, weekly learning sessions, quarterly goal reviews with funded certifications, research, publications, and hackathons.
Inne informacje
Please be informed that the data controller is datarabbit Michał Mikołajczak ("controller"). You have rights regarding personal data access, rectification, erasure, processing restriction, objection, portability, and complaints to supervisory authorities. Data processing complies with Polish labour law and consent where applicable. Data is processed until recruitment completion or withdrawal of consent. The data is shared with Just Join IT and other entities involved in recruitment.
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