Senior Backend Engineer (AI)
Palo Alto, CA, United States
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
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
As a Senior Backend Engineer in charge of the Retrieval System, you will have the opportunity to work with a talented team of engineers, data scientists, and healthcare professionals to develop cutting-edge technologies that transform the healthcare industry. 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.
Key Responsibilities:
• 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
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
• Experience with technologies such as Langchain is a plus
• Excellent communication and interpersonal skills
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.” Company information
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.”Hippocratic AI’s model is tuned for the healthcare industry in three ways:1. Certifications: It was trained to pass not just the USMLE but rather to pass 114 different detailed certifications. Furthermore, beat open AI’s GPT-4 on 105 of the certifications (tied on 6 and only lost on 3)2. Bedside Manner: Specifically trained to have a great bedside manner. In healthcare delivery, how you say something to a patient is as important as what you say. The company developed a novel benchmark and beat all other commercial LLMs on this measure of bedside manner.3. RHLF’d by Healthcare Professionals: RLHF is the process of tuning a model and is a technique credited with must of the success of ChatGPT. Hippocratic is using the exact healthcare professions that conduct each role today to QA and train the model.The company raised a $50MM seed round from is A16z and General Catalyst and is founded by hospital administrators, doctors, medicare experts, and LLM researchers.
Technology, Artificial Intelligence, Data Science, Machine Learning, Data Analytics, Healthcare
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