Staff AI Engineer, Sirona Medical

• Ideally, you are comfortable working across the stack, with a preference toward backend systems and infrastructure, but with experience or interest in frontend development
• 8+ years of software engineering experience, with significant time spent building AI/ML-powered systems in production
• Extensive experience designing and implementing scalable APIs, with strong experience in SQL and/or NoSQL databases
• Deep understanding of MLOps best practices including model serving, observability, versioning, and lifecycle management
• Experience designing and implementing agentic workflows, leveraging multi-agent systems, LLM-based orchestration, and tools like LangChain, CrewAI, or AutoGen
• Strong understanding of retrieval-augmented generation (RAG), planning-execution loops, and decision-making architectures for task automation
• Proficiency in Python and modern backend frameworks (e.g., Django, FastAPI)
• Strong understanding of data structures, distributed systems, and asynchronous processing (e.g., Celery)
• Strong written and verbal communication skills, including experience writing design documents, RFCs, and collaborating across disciplines

Desirable

• We are seeking a Staff AI Engineer to architect, develop, and lead the implementation of groundbreaking AI-driven capabilities at Sirona Medical
• In this pivotal role, you’ll work at the forefront of applied AI—leveraging Large Language Models (LLMs), multimodal AI, and advanced agentic workflows to build real-world healthcare solutions that improve clinical outcomes and operational efficiency
• You’ll collaborate closely with a multidisciplinary team of engineers, AI researchers, product designers, and radiologists to deliver high-impact features, scalable APIs, and next-generation AI-integrated tooling
• As a senior member of the team, you’ll help define our technical architecture, shape the roadmap, mentor engineers, and lead the application of cutting-edge AI in one of the most consequential areas of medicine
• Develop and scale internal and external APIs and SDKs that power intelligent features and real-time clinical automation
• Architect, prototype, and implement agentic AI workflows using cutting-edge LLM and multimodal AI technologies
• Collaborate with product, engineering, and AI research teams to ship production-ready LLM- and CV-powered features in a modern cloud environment
• Own and evolve our AI training, evaluation, benchmarking and inference infrastructure, helping the team continuously raise the bar on performance, quality and safety
• Support applied research and R&D efforts through internal tooling development
• Work cross-functionally with product and domain experts to prototype novel use cases (e.g., imaging workflow automation, clinical summarization, EMR integration)
• Mentor other engineers and help set technical direction across AI product initiatives