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Baba
New York City, New York, United States
Source: Baba careers · View original posting
From Baba's posting. “We” and “our” refer to the employer.
Baba is an applied AI lab modernizing risk and care delivery for people with Medicare. We've become the fastest growing digital health system matching people with Medicare and their family caregivers with expert advocates, physicians, medications, lab testing, and AI agents to deliver insurance-covered care across all 50 states. In the last 8 months, we've completed tens of thousands of appointments and partnered with health plans covering more than 4 million Medicare beneficiaries.
On any given day, our team's work spans population health research, applied AI research, clinical care delivery, and fintech infrastructure.
We're a Series A company with $47M+ in funding. Our team is half engineers, a third former founders, and comes from places like Ramp, Stripe, Liquid AI, Palantir, MIT, and CMU. Our clinical operations are led by the former Executive Director of Care Transitions from the Mount Sinai Health System. We believe that talent density is our greatest competitive advantage.
Baba is seeking a Fullstack Engineer to own the end-to-end development lifecycle for new platform capabilities and integrations with other systems.
You'll own core systems end-to-end — from voice AI infrastructure to the internal tools our clinicians use daily. As we scale from thousands to millions of patients, you'll design the APIs, data pipelines, and product surfaces that make that possible without sacrificing quality of care.
Interested candidates should email connor@callbaba.com with a short summary of the most challenging problem they've worked on and a link to their LinkedIn.
2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
Are proficient in one or more backend languages (e.g., Python, Go, Rust, Typescript or similar) and distributed systems concepts.
Care deeply about reliability, safety, and performance in production environments.
Interest in AI/ML (direct experience not required)
Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
Bonus: Former founder, or early engineer at a startup who has built a product from scratch
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