Senior Fullstack Engineer (m/f/d) - AI Health tech

present of AI; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

present of AI in Warsaw, Poland, is seeking a Senior Fullstack Engineer (m/f/d) to own features end to end, from the nurse-facing interface to the backend that turns spoken notes into structured records. You should be comfortable with a modern web stack, APIs, and data handling in a health-tech setting where accuracy matters.

The role offers exposure to speech recognition and NLP pipelines, production AI features, and a focus on privacy and clinical workflow integration, with a remote-first

Qualifications

• Experience with a modern web stack and APIs.
• Strong data handling and reliability in a health‑tech setting.

Responsibilities

• Own features end to end, from nurse-facing UI to backend that structures notes.
• Build AI features and NLP integrations in production.
• Evaluate model output and ensure privacy and accuracy in clinical workflows.

Skills

Fullstack development

API design

Data handling

Reliability

Job description

Senior Fullstack Engineer (m/f/d) - AI Health tech

AI & Data · Warsaw, Poland · Remote · FullTime · Senior level

A senior fullstack engineer here would typically own features end to end, from the interface nurses use to the backend that turns spoken notes into structured records. Strong candidates bring solid experience across a modern web stack, comfort with APIs and data handling, and care for reliability in a health setting where accuracy matters.

How it fits the AI era

AI shifts much of the work toward integrating speech and language models into a dependable product, so the engineer spends more time on data flow, edge cases and trust than on boilerplate. What stays human is judgment about correctness, safety and how the tool fits real clinical routines.

How it builds AI experience

This role offers hands on exposure to speech recognition and language model pipelines applied to clinical documentation, plus the messy real world data that comes with it. Building that experience means working on production AI features, learning how to evaluate model output, and understanding privacy and accuracy constraints in health.

Worth showing

• End to end feature ownership
• API and data design
• Speech or NLP integration
• Reliability in health data

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.

A voice app that turns what a nurse says out loud during care into structured documentation, so less of a shift is spent typing it up afterward.