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.
The Role
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.
What You’ll Be Doing
- Design and build LLM-powered product features used in production.
- Develop agentic workflows and frameworks that coordinate multiple AI components.
- Implement RAG (Retrieval-Augmented Generation) architectures using embeddings and vector search.
- Build systems for prompting, context engineering, and tool usage.
- Develop evaluation frameworks to measure LLM and agent performance.
- Work closely with product and platform teams to turn AI capabilities into reliable, scalable product features.
- Continuously improve system reliability, latency, and cost efficiency of AI pipelines.
Technologies you may work with
- Apache Kafa
- NVIDIA Triton Inference Server
- FastAPI for ML APIs and services
- Go for backend services
- Kubernetes for deployment and operations
- Common MLOps tooling for experiment tracking, model versioning, and monitoring
What You Bring
- 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:
- Training, finetuning, or post-training transformer-based models.
- Building or operating LLM inference services in production, including performance work.
- Experience with embeddings, vector databases, and semantic search.
- Practical experience implementing RAG architectures.
- Designing robust evaluations for agent workflows and generative systems, including metrics, error analysis, and human evaluation methods.
- 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.
Life at Corti
- You will be reporting to the VP of Product
- The position is full-time and starts as soon as possible
- Hybrid working environment in our Copenhagen Office
- Equipment provided by Corti
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!
