Senior Software Engineer
Posted
Summary
Senior Software Engineer building backend infrastructure for AI agents in healthcare, focusing on high-uptime systems, data pipelines, and ML workflow reproducibility using Python, Go, Ray, Airflow, and cloud platforms.
- Hippocratic AI’s AI agents are already working inside real hospitals and health systems — this role owns the backend infrastructure that keeps them fast, reliable, and ready to scale as that footprint grows
- You’ll architect systems built for tomorrow’s volume, not just today’s, working closely with data scientists, ML engineers, and product managers to turn healthcare requirements into production-grade infrastructure
- Architect backend systems that sustain 99.9%+ uptime for high-volume healthcare data and LLM processing as usage grows exponentially
- Implement monitoring that surfaces issues before they reach production AI agents
- Own performance and reliability improvements across backend systems in collaboration with data scientists and ML engineers
- Infrastructure supporting data ingestion, feature extraction, and tagging workflows
- Develop APIs and microservices that reduce processing time and improve responsiveness for AI model interaction and data retrieval
- Build infrastructure that makes ML workflows reproducible end-to-end, from data preparation through model deployment
- Accelerate time-to-production for new AI capabilities
- What Success Looks Like:
- Within 6-12 months, the backend systems you’ve built or hardened are sustaining 99.9%+ uptime under exponential growth in healthcare data and LLM traffic. New AI capabilities move from data preparation to production faster because the ML workflows and pipelines you designed are reproducible end-to-end. Your monitoring catches issues before they ever reach a live AI agent in a hospital setting
- Experience building and maintaining multi-modal (speech, vision, text) data pipelines using Ray, Apache Airflow, or similar for distributed processing and model experimentation, including distributed computing frameworks like Spark or Hadoop
- Familiarity with relational database systems and RESTful APIs
- 4+ years of backend development experience using Python, Golang, or similar languages
- Basic understanding of cloud infrastructure (AWS, GCP, or similar)
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field (Master’s preferred)
- 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
- Experience with real-time audio
- Exposure to DevOps concepts — CI/CD, deployment, Terraform, build systems
- Experience with data science