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Aidoc is the market leader in healthcare AI, having developed the world's largest clinical frontier model supporting nearly 50 million patients annually across 2,000+ medical centers globally. Since 2016, the company has raised over $500M and achieved a record number of FDA-cleared solutions. The company addresses a critical gap in medical diagnosis by using AI to highlight diseases directly on medical images, preventing misdiagnosis and ensuring urgent patients receive immediate attention.
This Staff/Principal AI Software Engineer role sits at the intersection of algorithms, infrastructure, and products within Aidoc's AI Engineering group. You will lead the evolution and scaling of Aidoc's AI architecture, ensuring reliability, efficiency, and impact across global clinical workflows.
Key responsibilities include:
- Lead cross-domain engineering initiatives connecting AI algorithms (computer vision, NLP, deep learning), software, and data systems from design through delivery
- Remain hands-on, contributing to AI-serving (training and inference), integration, and orchestration components while setting high technical standards
- Partner with algorithm teams to connect innovation with strong system design, ensuring smooth delivery across Product and Engineering
- Guide architectural evolution for efficiency, consistency, and maintainability across AI workflows
- Communicate technical direction and priorities clearly, aligning teams around shared goals
- Mentor engineers and promote technical excellence, sound design, and best practices
- Foster collaboration and shared ownership within a culture valuing clarity, curiosity, and technical rigor
- Uphold quality and reliability through clean code, testing, CI/CD discipline, and evaluation of tools that enhance performance and scalability
Required qualifications:
- Master's or Ph.D. in Computer Science, Engineering, or related technical field
- 10+ years of software engineering experience with proven architectural depth and hands-on approach
- Proven ability to drive technical direction, make architecture decisions, and align diverse stakeholders
- Strong understanding of AI/ML systems including deep learning, computer vision, and NLP
- Experience designing robust software architectures focused on scalability, reliability, and maintainability
- Proficiency in Python and modern software engineering practices (clean code, testing, CI/CD, observability, performance optimization)
- Experience with deep learning frameworks such as PyTorch and TensorFlow
- Familiarity with cloud environments and MLOps practices including containerization, orchestration, and model-serving frameworks
- Excellent collaboration and communication skills
The role is hybrid based in Tel Aviv with offices at 34 HaMasger Street, including parking. The company offers competitive compensation, wellness programs, daily meals, and a collaborative culture.
