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Salary
≈ $148k – $273k per year (Estimated)
Location
In office (Menlo Park)
Seniority
Senior · 4+ years exp
Visa
H-1B filings in 12 months: 36 · for this role: 12
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Sep 30, 2026. Hippocratic AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hippocratic AI builds the safest generative AI healthcare agent for health systems, payors, and pharma. Over 180 million clinical interactions across 1,000+ use cases with 60+ partners worldwide. Increase your organization's reach and patient's accessibility today.

Join Hippocratic AI, a company revolutionizing healthcare with AI technology. As a Senior Software Engineer, you will be responsible for architecting and maintaining the backend infrastructure that supports our AI agents in real hospitals and health systems. You will work closely with data scientists, ML engineers, and product managers to turn healthcare requirements into production-grade infrastructure. Your success will be measured by the uptime and performance of the backend systems you build, as well as the speed at which new AI capabilities move from data preparation to production.

Missions

  • Architect and implement backend systems that sustain high uptime and performance for healthcare data processing.
  • Collaborate with data scientists and ML engineers to turn healthcare requirements into production-grade infrastructure.
  • Develop APIs and microservices that reduce processing time and improve responsiveness for AI model interaction.

Profil recherché

- 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

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