Senior Software Engineer
Hippocratic AI3 days ago
Responsibilities
- Architect scalable backend systems for high-volume healthcare data and LLM processing.
- Implement monitoring and improve backend performance and reliability.
- Design and maintain distributed pipelines for speech, vision, and text healthcare datasets.
- Build data tagging, metadata, ingestion, feature extraction, and retrieval infrastructure.
- Develop APIs and microservices for AI model interaction and data retrieval.
- Create reproducible ML workflows spanning data preparation through model deployment.
- Collaborate with data scientists, ML engineers, and product managers to move AI capabilities into production.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field is required; a Master’s degree is preferred.
- At least 4 years of backend development experience using Python, Golang, or similar languages.
- Experience building and maintaining multimodal data pipelines with Ray, Apache Airflow, or similar distributed-processing tools.
- Experience with distributed computing frameworks such as Spark or Hadoop.
- Familiarity with relational databases, RESTful APIs, and cloud infrastructure such as AWS or GCP.
- Exposure to AI/ML concepts or LLMs is preferred.
- Experience handling sensitive or regulated data is preferred.
- Familiarity with gRPC or GraphQL is preferred.
- Experience with real-time audio, data science, DevOps concepts, Terraform, deployment, or build systems is preferred.
Benefits
- Expected to work from the Menlo Park office five days per week.
- Opportunity to work on safety-focused healthcare AI and large-scale LLM infrastructure.
- Equal opportunity employer committed to accommodations and an inclusive workplace.
Tech Stack
Categories
BackendData Engineering
About Hippocratic AI
Hippocratic AI builds a safety-focused large language model and AI agents for healthcare workflows, used by health systems for patient outreach, post-discharge follow-up, and chronic-care management. It licenses its platform and tools to providers to automate and scale clinical support tasks while meeting health-system requirements. Founded in 2023 and headquartered in Palo Alto, the company is privately held.