Staff AI Engineer

About the Role

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. Ideally, you are comfortable working across the stack, with a preference toward backend systems and infrastructure, but with experience or interest in frontend development. 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. 

Ideally, this person would be able to work out of our San Francisco office.

Key Responsibilities

• 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.
  
  

Key Requirements

• 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.

Preferred

• Prior experience in healthtech, especially with DICOM, HL7, or EMR/EHR data.
• Front-end development experience, especially in React and GraphQL, and ability to contribute meaningfully to UI/UX workflows.
• Open source contributions, public talks, or publications in the AI/ML systems space.
  
  

Why Join Us?

• Make a Real Impact: Your work will directly affect patient outcomes and improve clinical workflows for healthcare providers.
• Work with Cutting-Edge AI: You'll be at the forefront of applying AI innovations in a high-stakes domain.
• Collaborate with Top Talent: Join a passionate, multidisciplinary team of AI experts, engineers, and clinicians.
• Opportunity to Grow: We're a startup—there's room for you to grow and lead as we continue to scale

The annual US base salary range for this full-time position is $175,000 - $215,000 + equity + benefits. Pay scale is flexible depending on experience. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, relevant education and training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.