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Ellipsis Health

AI-driven vocal biomarkers for mental health

Senior Backend Engineer - AI Evaluations

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAHybrid

About the Job

Requirements

  • At least 5 years of professional software engineering experience, with a strong focus on building backend systems, platforms, or developer tooling.
  • Proven experience designing and maintaining production-grade infrastructure with code, including APIs, services, and data pipelines.
  • Strong proficiency in at least one general-purpose programming language, such as Python, TypeScript or JavaScript, Java, or a similar language.
  • Experience using test automation frameworks, evaluation pipelines, or continuous integration and continuous delivery (CI/CD)-integrated testing systems.
  • Familiarity with observability and debugging tools, including logging, metrics, and tracing, and building internal tools that improve developer and quality assurance workflows.
  • Strong debugging skills and a methodical approach to diagnosing production and evaluation issues.
  • Ability to collaborate across engineering, quality assurance, and operations teams and translate requirements into reliable, maintainable systems.
  • A product-minded approach to infrastructure, with attention to usability, documentation, and long-term maintainability.

Responsibilities

  • Build and maintain infrastructure and tooling for the AI evaluations platform used by internal teams, including an automated testing platform for AI voice agents and debugging and observability tools.
  • Develop and productionalize evaluation frameworks for individual system components, such as automatic speech recognition (ASR), large language models (LLMs), text-to-speech (TTS), knowledge bases, and guardrails.
  • Partner with machine learning, engineering, and quality assurance teams to translate evaluation requirements into robust, maintainable infrastructure and tooling.
  • Improve developer experience by making evaluation systems easy to extend, well-documented, and reliable in day-to-day use.
  • Ensure evaluation tooling meets production standards for reliability, performance, and maintainability.

Desired Qualifications

  • Experience working with complex, multi-component systems, such as ASR, LLMs, TTS, or other machine-learning-powered services.
  • Experience working in healthcare or other regulated environments, including awareness of the Health Insurance Portability and Accountability Act (HIPAA) and protected health information (PHI) handling.
  • Familiarity with conversational AI or voice agents, including multi-turn dialogue, latency constraints, and error recovery.
  • Familiarity with LLM observability or evaluation tools, such as Langfuse or prompt evaluation frameworks.
  • Background in digital health, care coordination, or patient-facing systems.

About the Company

Ellipsis Health

AI-driven vocal biomarkers for mental health

Ellipsis Health builds AI-powered vocal biomarker analysis to screen for and monitor depression and anxiety for healthcare providers. It processes a patient’s voice to produce objective mental health measures that can be integrated into clinicians’ workflows, typically via a subscription or per-use model for health organizations. The system enables remote, scalable assessment and continuous monitoring to support early detection and treatment planning. Its focus on vocal biomarkers and seamless integration into standard care differentiates it from consumer apps and aims to expand access, including for underserved populations.

Company size
51-200
Company stage
Series A
Total funding
$85.1M
Headquarters
San Francisco, CA
Founded
2017

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