Research Software Engineer – Applied Science
| Company | Hippocratic AI |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent practical experience).
- 7+ years of experience in backend development using programming languages like Python, C++, Golang, or similar.
- Strong problem-solving skills and a willingness to learn and grow.
- Familiarity with relational database systems and RESTful APIs.
- Basic understanding of cloud infrastructure (e.g. AWS, GCP).
Responsibilities
- Develop and maintain scalable backend systems to support high-performance AI applications in healthcare.
- Collaborate with cross-functional teams, including data scientists and ML engineers, to design and build efficient data pipelines for large-scale healthcare datasets.
- Build and manage APIs and microservices that enable smooth data retrieval, processing, and interaction with AI models.
- Monitor and improve backend systems to optimize performance, reliability, and uptime.
- Work closely with product managers to understand healthcare requirements and help transform them into technical solutions.
- Engage in team discussions and knowledge sharing to promote a collaborative and innovative engineering culture.
Preferred Qualifications
- Exposure to AI/ML concepts or experience working with LLMs.
- Experience working in teams that handle sensitive or regulated data.
- Familiarity with gRPC, graphQL or similar
- Exposure to DevOps concepts – CI/CD, deployment, terraform, build systems.