Fullstack Engineer

Baba•New York, NY

1d•Onsite

About The Position

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 advocates and providers 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.

Requirements

2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
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.

Nice To Haves

Strong builder: You have 2+ years of professional experience building and shipping web applications. You're comfortable owning features end-to-end, from database schema to UI.
Systems thinker: You can map complex, multi-user workflows into clean data models and logical service boundaries.
Pragmatic and fast: You prioritize shipping over perfection, but you don't cut corners on correctness. You thrive in early-stage ambiguity.
High-agency: You take ownership of problems, not just tickets. When something breaks at midnight, you fix it.
Willing to sweep the corners: You're equally comfortable debugging a production issue, answering a patient support ticket, or whiteboarding system architecture. No task is below you.
Former founder, or early engineer at a startup who has built a product from scratch

Responsibilities

Build and maintain the web applications, APIs, and backend services that power Baba's patient advocacy platform.
Design and implement automated QA and monitoring systems to audit patient outcomes and advocate performance at scale.
Develop internal tools and dashboards that streamline clinical workflows, replacing manual processes with reliable, scalable software.
Architect data models and pipelines to support a growing marketplace of advocates, providers, and patients.
Collaborate directly with the founder and clinical team to translate operational bottlenecks into shipped product.