About the role
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 and helps providers focus on those who need them most 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 Software Engineer to build the evaluations platform behind our AI agents. You’ll define how we measure quality, build the systems that make those measurements trustworthy, and turn production failures into improvements.
You’ll work closely with engineering, research, product, and clinical stakeholders. We welcome senior and staff-level engineers; scope will reflect your experience. Healthcare experience is optional.
What You’ll Do
- Define metrics and curate datasets that capture quality, task completion, and safety across patient workflows.
- Build the evaluation platform, harnesses, and grading infrastructure to measure agent performance at scale.
- Develop verifiers and LLM-based evaluators for agent actions and outputs, calibrated against expert assessments.
- Analyze production conversations and execution traces, and turn failure modes into regression tests.
- Own the feedback loop from evaluation results to model, prompt, and product improvements.
- Establish evaluation gates that guide whether agent changes ship.
- Build reusable tools that let engineers and domain experts contribute evaluations and act on results.
What We’re Looking For
Required
- 5+ years of software or ML engineering experience shipping production systems.
- You’ve built evaluation platforms or frameworks that other engineers depend on.
- You can design datasets, metrics, and evaluators—and explain why their results are trustworthy.
- Strong backend engineering skills and the ability to own ambiguous problems end to end.
Nice to Have
- Experience with voice AI, agent simulation, or post-training.
- Healthcare experience.