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Tandem Health

AI medical scribe for clinical documentation

AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeStockholm, Sweden

About the Job

Requirements

  • A strong background in AI engineering, especially with LLM-centric products.
  • Proven experience shipping production-grade applications, ideally in fast-paced or startup environments.
  • Experience with Python, TypeScript, React, and Kubernetes.

Responsibilities

  • Design and build a full-stack, LLM-driven application, from user interface to backend model integration.
  • Monitor and improve a highly utilized LLM application already in production.
  • Iterate quickly to incorporate advancements in large language models, infrastructure, and user feedback into the product.
  • Own end-to-end delivery of features and solutions, from idea to deployment.
  • Work cross-functionally with product, design, and engineering to drive user outcomes.

Desired Qualifications

  • Familiarity with Microsoft-based infrastructure, including C# for Windows apps and Azure for cloud hosting.
  • Hands-on experience using or integrating large language models such as GPT or speech models such as Whisper.
  • Prior work in healthcare technology or regulated environments.

About the Company

Tandem Health

AI medical scribe for clinical documentation

Tandem Health builds an AI medical assistant for clinics across Europe. The platform embeds AI into clinicians’ workflows, with an AI scribe that captures the visit and generates notes, referrals, and summaries; a coding assistant that suggests ICD-10 and SNOMED codes; and a clinical decision support tool that provides source-linked answers from guidelines during the encounter. It integrates with more than 100 health record systems and operates in several European markets, with CE marks (EU MDR Class IIa), GDPR, ISO certifications, and European data hosting; audio from conversations is not stored. The company's stated goal is to restore presence in the consultation by letting clinicians focus on patients while the AI handles documentation and routine tasks, and to evolve toward a clinic operating system that manages patient flow and clinical tasks.

Company size
201-500
Company stage
Series B
Total funding
$159.5M
Headquarters
Stockholms kommun, Sweden
Founded
2023

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