Software Engineer Intern

Posted 2 Hours Ago
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Office, Lilongwe, Central Region, MWI
Hybrid
Internship
Artificial Intelligence • Healthtech • Information Technology • Software
The Role
Six-month software engineering internship developing internal tools for prenatal-care applications. Responsibilities include creating realistic DICOM Structured Reports, rebuilding an ultrasound machine simulator, and integrating AI-driven tooling to simulate user interactions for demos, testing, and configuration experiments. The role requires JavaScript and TypeScript, Playwright familiarity, basic API, container, and CI knowledge, plus curiosity about LLM agents, tool calling, and MCP.
Summary Generated by Built In
About Sonio

Each year, 140M children are born. Birth defects affect 1 in 33 births in developed countries, and in 50% of cases, they are not detected during prenatal examinations. Prenatal medicine is particularly complex, and the scans impose heavy responsibilities on healthcare professionals. They can also be a source of stress for future parents.

Resulting from 5 years of collaboration between world-renowned experts from Necker Hospital and Ecole Polytechnique, Sonio uses artificial intelligence to improve prenatal screening and diagnosis. Based on patented algorithms and a proprietary expert database, Sonio aims to become the reference tool to help practitioners improve screening, reduce diagnostic errors, and optimize pregnant women’s medical path.

Sonio's mission is to improve women's and children's health by promoting access and quality of care through technological innovation, medical expertise, and collective intelligence.

About the role:

Build real software, with real impact. Join our tech team for an internship in software engineering and AI-driven tooling, and help shape the tools that support prenatal care. You will work on internal tools that make setting up realistic test and demo environments fast and easy, directly supporting development and delivery.

Your missions:

  • DICOM SR simulator: study real DICOM Structured Reports (SR) from different ultrasound manufacturers and create realistic SRs for testing

  • Full simulator: rebuild our internal ultrasound machine simulator from scratch, so that various scenarios can easily be generated and experimented with

  • AI-driven simulation tool: integrate the simulator into a broader AI-piloted tool that simulates real user interactions with the application, for demos, test preparation, or configuration experiments

About the profile :

Sonio is a mission-driven company, so a genuine interest in our mission (improving fetal and maternal health through AI) is essential. Beyond that, we’re looking for someone who:

  • Is a final-year student in an engineering school or a Master’s in Computer Science, looking for a 6-month end-of-studies internship

  • Is comfortable with JavaScript and TypeScript and has some knowledge of Playwright

  • Knows the basics of APIs, containers and CI pipelines

  • Is curious about LLM-based tooling (agents, tool calling, MCP)

Location: Paris

Start Date: ASAP for 6 months

We move fast and aspire to be transparent over the process - our objective is that the process from the first chat to an offer is no longer than a month. We also aspire to give an answer to every application in a week - if you have not heard from us, please follow up at [email protected].

Skills Required

  • Final-year student in an engineering school or Master's program in Computer Science
  • Available for a six-month end-of-studies internship
  • Comfortable with JavaScript and TypeScript
  • Some knowledge of Playwright
  • Basic knowledge of APIs, containers, and CI pipelines
  • Curiosity about LLM-based tooling, including agents, tool calling, and MCP
  • Genuine interest in improving fetal and maternal health through AI
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The Company
HQ: Paris
75 Employees
Year Founded: 2020

What We Do

Sonio is a cloud-based software company that utilizes clinical AI to provide ultrasound reporting for OB-GYN practices, aiming to improve maternal and children's health by enhancing the quality and accessibility of prenatal care.

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