
Corti offers the worlds most powerful AI models for healthcare, directly available through our API.

Corti offers the worlds most powerful AI models for healthcare, directly available through our API.
Focus: Healthcare-specialized AI platform (APIs/SDKs and foundation models) for clinical workflows
Founded: 2016 — Copenhagen, Denmark
Recent funding: Series B $60M (Sep 20, 2023); total disclosed funding: 96200000 USD
Team size: Approximately 143 employees
Ambient clinical documentation, medical dictation/speech-to-text, pre-charting summarization, and clinical decision support for regulated healthcare workflows.
2016
Software Development
60000000
Series B included participation from existing investors including Eurazeo, EIFO, and Chr. Augustinus Fabrikker.
27000000
Reported prior Series A raise in 2021.
“Backed by growth-stage investors including Prosus Ventures and Atomico, with participation from Eurazeo, EIFO, and Chr. Augustinus Fabrikker.”
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Overview
We are on a mission to ensure everyone has access to medical expertise, no matter where they are.
Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up.
Corti is building the infrastructure to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again.
There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both.
Why Corti?
Corti is building the intelligence layer for global healthcare. We give every developer, product team, and healthcare innovator access to medical-grade AI, so the world can deliver care that is faster, safer, and more human.
Built entirely for healthcare and adjacent industries, Corti’s models are trained on real-world data and optimized for precision, safety, and regulatory trust.
Through modular APIs, teams can embed medical speech recognition, summarization, reasoning, and much more directly into healthcare products without reinventing the foundation.
We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on.
If you believe that AI purpose-built for medicine will define the next century of healthcare, you belong at Corti.
As a Senior AI Engineer focused on agentic framework, you will focus on building LLM-powered systems and agentic workflows that power core product capabilities at Corti. You will work on building strong validation practices, and deploying low-latency inference services that are dependable in real-world conditions.
You will work at the intersection of AI, product, and engineering, designing and implementing systems that leverage large language models, retrieval architectures, and context-aware agents to solve complex real-world problems.
This is a hands-on engineering role for someone who enjoys building production systems—not just experimenting with models.
Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world.
*Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status.*
At Corti, experience comes in many forms, and we’re passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we’re looking for but not an exact match, we still hope you’ll consider applying!
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Strong programming skills in Python and the ability to contribute to production-grade codebases.
Hands-on experience in LLMs, including at least some of the following:
Experience building production-graded ML systems that can be deployed and operated, including pipelines, CI and CD practices, and monitoring.
Strong product mindset with the ability to translate ideas into working systems
Clear communication and collaboration skills across research, engineering, and product.
A Master’s degree in computer science, engineering, mathematics, statistics, physics, or a related field, or equivalent professional experience.
Nice to have: Experience with healthcare data, clinical NLP, privacy and safety considerations. Experience with Go.