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Product AI Engineer, Voice Systems

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Sage Care
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

About Sage Care

Sage Care is a fast‑growing, early‑stage healthcare startup founded by executives from Apple, Uber, Carbon Health and backed by General Catalyst and Chelsea Clinton. It has a strong customer pipeline and is transforming healthcare by simplifying care navigation through an AI‑powered platform that helps patients find the right doctor, enables providers to focus on patients who need them most, and delivers faster access to care.

The company has expanded internationally to the MENA region with health‑system partners.

About

The Role

We’re hiring a product‑mindful AI Engineer to build and improve Sage Care’s AI Voice platform. The role is hands‑on: ship features, debug live‑call issues, and improve voice agent performance. 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 such as transcription, LLMs, and APIs
  • Help improve latency, reliability, and conversation quality
  • Contribute to testing, monitoring, and observability
  • Collaborate closely with product to iterate on user experience
Qualifications

Required

  • 2–3 years of software engineering experience
  • Strong programming skills (Python preferred)
  • Experience building backend systems or APIs
  • Product mindset, cares about user experience and outcomes
  • Eagerness to learn and work in a fast‑paced environment
  • Comfortable with ambiguity and problem solving

Nice to Have

  • Exposure to AI/ML or LLM‑based applications
  • Experience with real‑time systems or APIs
  • Interest in voice systems or conversational AI
  • Experience at a startup or small team
What Success Looks Like In This Role
  • Ships features that improve real customer experience
  • Can debug and fix issues in production with guidance
  • Gains understanding of how AI systems behave in practice
  • Contributes to improving system reliability and performance
  • Grows into owning components end‑to‑end
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