ellipsis-health

Senior Backend Engineer, AI Evaluations

Listed by employer · Checked

Older posting · still listed ·

  • hybrid
  • FullTime
  • Engineering
  • San Francisco - Hybrid
Work arrangement
hybrid
Employment
FullTime
Stated compensation
USD 175,000–250,000 1 YEAR
Apply on company website ↗
01 / A QUICK CHECK BEFORE YOU APPLY

Does the location policy fit?

Choose where you would work from. We’ll compare it with the posting’s stated requirements.

Choose the country you will work from. You can change this anytime.

Country and sponsorship changes take effect when you click Check eligibility.

Choose a country to check geographic compatibility. The source requirements are available below.

Source: ashbyChecked Original posting ↗
This is an older posting.

The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.

Browse jobs posted in the past 60 days →

Requirements

1 with evidence8 unclear or unstated
Remote policy
hybrid
“Provider workplace type: hybrid”
From employer posting metadata
Employment type
FullTime
Compensation
USD 175,000–250,000 1 YEAR
8 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

About the Role We’re seeking a strong Senior Backend Engineer to join our AI Evaluation team, focused on building the infrastructure and internal tooling that enable reliable, repeatable evaluation of AI systems in production. In this role, you’ll develop the scaffolding around our evaluations platform - API/data integrations, test configuration management, and reporting tools that make evaluations easy to run, extend, and operate at scale. You’ll also build and maintain evaluation frameworks for individual system components such as ASR, LLMs, TTS, knowledge bases, and guardrails, productionalizing these frameworks to support regular analysis, regression detection, and continuous monitoring. In addition, you’ll create debugging tools that make it easy to inspect end-to-end calls, trace failures, and surface all relevant signals in one place - empowering internal teams to diagnose issues quickly and confidently. The ideal candidate is a pragmatic, infrastructure-minded engineer who enjoys turning ad hoc analysis into durable systems, cares deeply about developer experience, holds a high bar for software-quality and takes pride in building tooling that makes complex AI systems observable, testable, and easier to operate.
Read full descriptionShow less description
Responsibilities: Build and maintain infrastructure and tooling for the AI evaluations platform used by internal teams, including automated testing platform for AI voice agents, debugging and observability tools. Develop and productionalize evaluation frameworks for individual system components such as ASR, LLMs, TTS, knowledge bases, and guardrails. Partner with ML, engineering and QA 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. Qualifications: 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 (e.g., Python, Typescript/Javascript, Java, or similar). Experience using test automation frameworks, evaluation pipelines, or CI/CD-integrated testing systems. Familiarity with observability and debugging tools (logging, metrics, tracing) and building internal tools that improve developer and QA workflows. Strong debugging skills and a methodical approach to diagnosing production and evaluation issues. Ability to collaborate effectively across engineering, QA, and operations teams, translating requirements into reliable, maintainable systems. Product-minded approach to infrastructure, with attention to usability, documentation, and long-term maintainability. Preferred: Experience working with complex, multi-component systems (e.g., ASR, LLMs, TTS, or other ML-powered services) Experience working in healthcare or other regulated environments, including awareness of HIPAA and 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 (e.g., Langfuse, prompt eval frameworks). Background in digital health, care coordination, or patient-facing systems. Salary and Benefits We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off. The typical salary range for this role is $175,000 to $250,000 USD, depending on skills, qualifications, and relevant experience. Background Checks As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations. Assistance If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.
Original formatting and links

About the Role

We’re seeking a strong Senior Backend Engineer to join our AI Evaluation team, focused on building the infrastructure and internal tooling that enable reliable, repeatable evaluation of AI systems in production. In this role, you’ll develop the scaffolding around our evaluations platform - API/data integrations, test configuration management, and reporting tools that make evaluations easy to run, extend, and operate at scale. You’ll also build and maintain evaluation frameworks for individual system components such as ASR, LLMs, TTS, knowledge bases, and guardrails, productionalizing these frameworks to support regular analysis, regression detection, and continuous monitoring.

In addition, you’ll create debugging tools that make it easy to inspect end-to-end calls, trace failures, and surface all relevant signals in one place - empowering internal teams to diagnose issues quickly and confidently. The ideal candidate is a pragmatic, infrastructure-minded engineer who enjoys turning ad hoc analysis into durable systems, cares deeply about developer experience, holds a high bar for software-quality and takes pride in building tooling that makes complex AI systems observable, testable, and easier to operate.


Responsibilities:

  • Build and maintain infrastructure and tooling for the AI evaluations platform used by internal teams, including automated testing platform for AI voice agents, debugging and observability tools.

  • Develop and productionalize evaluation frameworks for individual system components such as ASR, LLMs, TTS, knowledge bases, and guardrails.

  • Partner with ML, engineering and QA 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.

Qualifications:

  • 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 (e.g., Python, Typescript/Javascript, Java, or similar).

  • Experience using test automation frameworks, evaluation pipelines, or CI/CD-integrated testing systems.

  • Familiarity with observability and debugging tools (logging, metrics, tracing) and building internal tools that improve developer and QA workflows.

  • Strong debugging skills and a methodical approach to diagnosing production and evaluation issues.

  • Ability to collaborate effectively across engineering, QA, and operations teams, translating requirements into reliable, maintainable systems.

  • Product-minded approach to infrastructure, with attention to usability, documentation, and long-term maintainability.

Preferred:

  • Experience working with complex, multi-component systems (e.g., ASR, LLMs, TTS, or other ML-powered services)

  • Experience working in healthcare or other regulated environments, including awareness of HIPAA and 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 (e.g., Langfuse, prompt eval frameworks).

  • Background in digital health, care coordination, or patient-facing systems.

Salary and Benefits

We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and very flexible paid time off.

The typical salary range for this role is $175,000 to $250,000 USD, depending on skills, qualifications, and relevant experience.

Background Checks

As a health technology company, we reserve the right to run background checks on candidates to whom we extend offers, in compliance with applicable laws. We evaluate candidates holistically and comply with all “ban the box” regulations.

Assistance

If you have a disability or require accommodations during the application or recruitment process, please contact careers@ellipsishealth.com.

Matched by role category. Review each posting’s requirements before applying.

THE JOB ELIGIBILITY CHECKER

Check a job