Mission:
Healthcare is undergoing a seismic shift — and AI agents are at its core. Radiant Science is on a mission to improve how care is delivered by building the agentic AI layer for clinics and hospitals.
The Role:
As an Engineer at Radiant, you’ll help shape the vision and direction of both the product and the company. You will help deliver the core technology for Radiant’s AI healthcare agents. This is an opportunity for an entrepreneurial and driven Engineer to work at the intersection of software and healthcare technology. You’ll work closely with our team to design and scale systems that directly improve patient care.
Key Responsibilities:
* Architect and build secure, scalable production systems for healthcare AI applications
* Lead design and deployment of intelligent agents in clinical workflows
* Balance rapid prototyping with enterprise-grade scalability and reliability
* Implement HIPAA/SOC2-compliant infrastructure from the ground up
* Establish engineering best practices in a fast-growing technical team
* Drive observability with robust monitoring, logging, and alerting
* Mentor and guide junior engineers, shaping a culture of technical excellence
Required Qualifications:
* 5+ years of software engineering experience
* Proven experience working in early company environments or fast-paced, iterative development
* Strong experience building and maintaining production systems
* Experience with Azure or Google Cloud Platform (GCP) services and infrastructure
* Understanding of system design patterns for different scales (microservices, distributed systems, event-driven architectures)
* Understanding of security principles, authentication, authorisation, and data protection
* Proficiency in modern programming languages (Python, Go, Java, or similar)
* Strong problem-solving skills and the ability to work independently
Desirable Qualifications:
* Demonstrated experience deploying and managing AI/ML systems in production environments
* Experience with healthcare data standards (HL7, FHIR, DICOM)
* Background in machine learning infrastructure and MLOps practices
* Experience with containerization (Docker, Kubernetes) and infrastructure as code
* Previous experience in regulated industries
* Contributions to open-source projects
Work Location & Environment:
This is a hybrid role based in Berlin, one of Europe's leading capitals for start-ups. Team members can work from Berlin or remotely with regular on-sites. We will be closely collaborating in a fast-moving and impact-driven start-up.
You’ll be joining an experienced founding team with backgrounds at Microsoft, Meta AI Research, Imperial College, Harvard University, Cambridge University, and the NHS — combining world-class expertise in medicine and AI. The company is funded by unicorn angels and Europe's most active healthtech VC.
Why join us?
* Join a mission-driven founding team with deep expertise in AI and healthcare
* Own key technical decisions and shape foundational infrastructure
* Build tech that directly impacts clinicians, patients, and health systems
* Work with cutting-edge AI in one of the most complex, high-stakes domains
* Be part of something meaningful, early — and build it right
Company Culture Pillars:
* We hire only A-players who raise the bar of excellence
* We emphasise learning and curiosity
* We put doctors and patients first and are impact-driven
* We are building to become the category leader in the space