Full stack engineer
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Engineering Paris office Remote FullTime Mid level
The role is a hands-on full stack position inside a small product squad, building features across web, desktop and mobile along with the back-end services behind them. It asks for solid computer science basics, several years of real full stack work, strong React, and one server-side language such as Java, Kotlin, Go or Rust. A strong candidate cares about code quality, learns quickly and is happy working with product, ML and design people to get a feature from idea to production.
How it fits the AI era
The product itself is built on AI, so the work covers multi-stage language model pipelines and agent workflows, along with everyday use of AI coding tools. AI can speed up writing code and drafts of features. People still have to decide what is safe to put into a patient record, design for flaky networks, and judge whether the output can be trusted in a clinical setting.
How it builds AI experience
The work touches live audio transcription, automatic clinical notes and agent style workflows running at a volume of millions of visits a month. That gives close exposure to how AI features are made reliable and auditable in production. To prepare, build a small app that streams audio, calls a language model and checks its output, and practice using an AI coding assistant on real tasks.
Worth showing
- React and TypeScript projects
- Reliable apps on weak networks
- Using AI coding tools daily
- Third-party system integrations
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Nabla
Nabla provides an AI assistant for healthcare that captures patient-clinician conversations and generates structured clinical notes automatically, per the company.
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