Rad AI
Data Engineer
United States · Full-time
Sponsorship not specifiedDetected 13 days ago
SQLNoSQLPostgreSQLElasticsearchDynamoDBAWSDockerMachine LearningData EngineeringLLMsComplianceValuationHIPAAEHR/EMRPatient CareRadiologyCollaboration
About the role
- With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
- Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M.
- If you're ready to shape the future of healthcare, we'd love to have you on our team!
Responsibilities
- Design and implement the data architecture, ensuring scalability, flexibility, and efficiency using pipeline authoring tools like Metaflow and large-scale data processing technologies like Spark.
- Take ownership of key data engineering projects and work independently to design, develop, and maintain high-quality data solutions.
- Continuously monitor, maintain, and improve the performance and stability of the data infrastructure.
- Collaborate with researchers and other stakeholders to understand their data needs including model training and production monitoring systems and develop solutions that meet those requirements.
- Expertise in designing and developing distributed data pipelines using big data technologies on large scale data sets.
- Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives.
Nice to have
- 5+ years relevant experience in data engineering.
- Deep and hands-on experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments.
- Solid experience with big data processing and analytics on AWS, using services such as Amazon EMR and AWS Batch.
- Experience in large scale data processing technologies such as Spark.
- Expertise in orchestrating workflows using tools like Metaflow.
- Experience with various database technologies including SQL, NoSQL databases (e.g., AWS DynamoDB, ElasticSearch, Postgresql).
- Hands-on experience with containerization technologies, such as Docker and Kubernetes.
- Prior Software Engineering experience is a big plus.
Compensation
- Annual company-wide offsite
Benefits
- At Rad AI, we're on a mission to transform healthcare with artificial intelligence.
- Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others-all backing our mission to empower physicians with cutting-edge AI.
- Experience working on machine learning or healthcare related projects.
- Comprehensive Medical, Dental, Vision & Life insurance
- HSA (with employer match), FSA, & DCFSA
- Flexible PTO policy
Company info
- Who We're Looking For:
- We are seeking a Senior Data Engineer to join our engineering team.
- Founded by a radiologist, our AI-driven solutions are revolutionizing radiology-saving time, reducing burnout, and improving patient care.
- Most recently, Rad AI was named to CNBC's Disruptor 50 https://www.cnbc.com/2025/06/10/2025-cnbc-disruptor-50-see-the-full-list-of-companies.html list, highlighting the innovation and momentum behind our mission.
This listing is sourced directly from Rad AI's careers page and normalized into a canonical job model.