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Product AI Engineer, Voice Systems

Sage Care - HQ

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Series A From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Product AI Engineer, Voice Systems HQ ABOUT SAGE CARE Sage Care is a fast-growing, early-stage healthcare startup founded by exceptional leaders from Apple, Uber, Carbon Health and backed by top-tier venture capital (General Catalyst, Chelsea Clinton). With a strong customer pipeline, Sage Care is transforming healthcare by simplifying care navigation. Our platform makes it easier for patients to find the right doctor, helps providers focus on those who need them most, and ensures faster access to care-delivering better care and stronger economic outcomes at scale through harnessing the latest AI innovations. Building on our successful collaborations with health systems across the U.S., we have expanded internationally to the MENA region. We are now partnering with health systems there to deploy our AI-powered care navigation platform. ABOUT THE ROLE We're hiring a product-minded AI Engineer to help build and improve Sage Care's AI Voice platform. You'll work on real customer-facing systems: helping ship features, debug issues from live calls, and improve how our voice agents perform in practice. This is a hands-on role where you'll learn how AI systems behave in the real world and how to make them reliable, fast, and user-friendly. You'll work closely with experienced engineers and product to deliver high-quality voice experiences for patients and providers. KEY RESPONSIBILITIES - Build and ship features for AI-powered voice experiences - Debug issues from real calls and improve system behavior - Work with components like transcription, LLMs, and APIs - Help improve latency, reliability, and conversation quality - Contribute to

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