Qualifications
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
- At least 5 years of professional experience in backend development
- Strong proficiency in one or more programming languages such as Python, Java, or Scala
- Expertise in vector database technology and designing retrieval systems for high-performance machine learning applications
- Knowledge of data modeling, database design, and SQL
- Experience with cloud computing platforms such as AWS, GCP, or Azure
- Familiarity with DevOps principles and tools such as Docker, Kubernetes, and CI / CD pipelines
- Strong problem-solving skills and ability to work independently and collaboratively in a team environment
- Excellent communication and interpersonal skills
Responsibilities
- You will be responsible for developing and maintaining the backend infrastructure that powers our core Healthcare AI platform's retrieval system
- You will work closely with data scientists, machine learning engineers, and product managers to build scalable and reliable systems that retrieve and process vast amounts of healthcare data to train and operate our AI models
- Design, develop, and maintain backend infrastructure to support the retrieval and processing of healthcare data for our AI models
- Develop and maintain a high-performance retrieval system based on vector databases
- Collaborate with data scientists and machine learning engineers to design and implement scalable data pipelines
- Build and maintain APIs and microservices that enable efficient and reliable data retrieval and processing
- Develop and implement robust data security and privacy measures to protect sensitive patient information
- Monitor and optimize the performance of backend systems to ensure maximum efficiency and uptime
- Work closely with product managers to understand customer needs and requirements and translate them into technical solutions
- Mentor and provide technical guidance to junior engineers
About Hippocratic AI
Hippocratic AI is building a safety-focused large language model (LLM) for the healthcare industry. We believe that generative AI has the potential to massively increase healthcare access the world over but has to be built and tested responsibly.
Like the Hippocratic oath that doctors take, we are building a model that aims to Do no Harm.
Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description.
The company raised a $50MM seed round from A16z and General Catalyst and is founded by hospital administrators, doctors, medicare experts, and LLM researchers.
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