Software Engineer, Voice AI

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

Our AI voice agents talk to real patients every day. This role is where those conversations get better.

We are hiring a product-minded Software Engineer to help build and improve Sage Care's voice AI platform. You will ship features to production, debug issues from live calls, and improve how our agents perform in practice. This is a hands-on role where you will learn how AI systems behave in the real world and what it takes to make them reliable, fast, and genuinely helpful to the person on the phone.

You will work closely with experienced engineers and product to deliver high-quality voice experiences for patients and providers, with real ownership from your first weeks.

What You'll Do

Build and ship features for AI-powered voice experiences

Debug issues from real calls and improve system behavior

Work with the components of a production voice stack: 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

What We're Looking For

Required

2 to 3 years of software engineering experience

Strong programming skills (Python preferred)

Experience building backend systems, APIs, or services that handle real user requests

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

Ships features that improve real patient and provider experience

Can debug and fix issues in production with guidance

Gains a working understanding of how AI systems behave in practice

Contributes to improving system reliability and performance

Grows into owning components end-to-end

Why This Role Matters

Most engineers wait years to work on systems that matter this directly. Here, the code you ship changes whether a patient reaches care today. You will learn production AI from engineers who operate it every day, on a system where quality is not abstract: it is a phone call with a person who needs help.