AI Engineer (LLM)

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Cerebria is at the forefront of AI-driven healthcare innovation, developing advanced machine learning solutions that enhance patient safety and improve cardiovascular diagnostics. Our core technology focuses on real-time coronary physiology, supporting interventional cardiologists with intelligent insights during procedures. In parallel, we are building cutting-edge education tools that leverage generative AI to deliver personalized, scalable learning experiences for healthcare professionals and patients.

Founded by practicing cardiologists, we're a small but growing startup backed by deep expertise in medical devices, regulatory compliance, and systems integration. From AI model development to seamless deployment in clinical and educational environments, we deliver end-to-end innovation. With headquarters in London, engineering operations in California, and a new engineering team being established in South Africa, our global team is united by a mission to make cardiovascular care and education smarter, safer, and more effective through intelligent technologies.

The role

We’re looking for an AI Engineer to build and integrate production-ready applications powered by Large Language Models (LLMs). You’ll work on both our regulated medical device products and AI-powered education tools, helping to build systems that deliver personalized, traceable, and clinically aligned experiences across both domains.

The ideal candidate combines technical expertise with strong product vision and a passion for collaborative problem-solving. You\'ll work closely with our team, clinicians, and domain experts to rapidly prototype AI-driven concepts, validate them in realistic settings, and scale them into production-ready applications that meet the real-world demands of clinical safety, performance, and usability.

This role is not a fit for junior candidates, or anyone without prior production experience shipping LLM systems.

This position is based in South Africa; some international travel may be required for team meetings or project collaboration. Please do not apply if you are not based in South Africa .

What you’ll do

• Develop and integrate LLM-based agentic systems for medical decision support and personalized education
• Build multi-step reasoning workflows and agents that adapt dynamically to clinical context, learning goals, and user interaction
• Collaborate with clinicians and domain experts to co-design, test, and iterate on new AI concepts
• Translate early-stage prototypes into robust, maintainable, and compliant production code
• Design RAG pipelines and knowledge orchestration systems for structured information access and traceable output generation
• Deploy and maintain LLM applications across both regulated software systems (medical devices) and non-regulated platforms (education tools) to optimize agentic workflows for inference performance, latency, and cost-efficiency
• Support the integration of AI models into regulated medical device software, with attention to performance optimization, safety, and runtime constraints
• Maintain thorough technical documentation, including model architectures, design specifications, training procedures, testing protocols, and performance benchmarks
• Adhere to and support implementation of applicable quality and regulatory standards, including IEC 62304, ISO 13485, and FDA / CE requirements
• Participate in design reviews, sprint planning, and collaborative meetings across teams

What we’re looking for

Must have experience

Why join Cerebria?

Ready to make AI that matters? Let\'s transform healthcare together.

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