Product AI Engineer, Voice Systems

Sage Care; Palo Alto (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A forward-thinking healthcare startup in Palo Alto seeks a product-minded AI Engineer to develop and enhance its AI Voice platform. The selected candidate will be responsible for building features and debugging issues in real-time calls. This hands-on position requires 2–3 years of software engineering experience, strong programming skills (preferably Python), and a focus on user outcomes. This is an excellent opportunity for those eager to learn and grow in a fast-paced environment.

Qualifications

• 2–3 years of software engineering experience.
• Experience building backend systems or APIs.
• Eagerness to learn and thrive in a fast-paced environment.

Responsibilities

• Build and ship features for AI-powered voice experiences.
• Debug issues from real calls and improve system behavior.
• Collaborate closely with product to enhance user experience.

Skills

Strong programming skills (Python preferred)

Software engineering experience

Product mindset

Problem solving

Comfortable with ambiguity

Tools

APIs

Backend systems

Real-time systems

Job description

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