Senior AI Solution Engineer

About The Position

Aidoc is recruiting a Senior AI Solution Engineer in Tel Aviv. Join our team!

About Aidoc

Aidoc is a pioneering force in clinical AI. Our clinical AI imaging solutions help physicians quickly identify and diagnose urgent cases and improve patient outcomes. Built on Aidoc’s exclusive aiOS, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient. Aidoc AI is always on, running in the background to change the foreground.

Our solutions are used in more than 1,000 hospitals, including leading health systems in the US. Funded by some of the industry’s leading VC’s, Aidoc has raised more than $250 million to date, and was chosen as one of TIME’s 50 most genius companies.

About this role

The Senior AI Solutions Engineer plays a critical, high-impact role in scaling our clinical AI solutions and ensuring the ability to deploy high quality products, monitor and support them in production. This position requires strong software and data engineering skills to elevate our operational systems.

You will be responsible for independently driving complex E2E projects, demonstrating flexible thinking and making cost-effective decisions while balancing quality versus speed.

As a senior member of the team, one of the core functions is mentoring team members to improve their software engineering skills and serve as a vital technical bridge, forming strong collaborations with both the R&D and Product organizations.

Success in this dynamic and fast-driven environment demands a focused "getting things done" and "can-do" attitude to deliver value with speed and quality.

Responsibilities
Automate and streamline AI operations - develop tools to automate AI deployment, data validation, and reporting for smooth production integration of AI solutions built by our research teams.
Act as the production technical expert - collaborate with Product and R&D teams during feature design to ensure production feasibility, scalability, and operational excellence.
Lead end-to-end tool development - gather requirements, design, implement, and deploy operational tools and pipelines in collaboration with cross-functional teams.
Drive engineering quality and play a key role in team member mentoring - uphold and develop engineering standards while fostering innovation.
Investigate and resolve complex data challenges - analyze and address production data issues, including data quality, availability, performance anomalies, and integration challenges.
Collaborate with customer-facing teams - understand real-world operational challenges, develop scalable solutions, and bridge the gap between customer needs and AI system behavior.
Ensure ongoing AI model reliability - design and implement mechanisms for monitoring data and performance degradation, and maintaining long-term model effectiveness.
Develop monitoring and analytics frameworks - create metrics and dashboards to track production health, data integrity, and AI performance across the deployment lifecycle.
Requirements
Bachelor's degree in a relevant field (Computer Science, Data Science, Engineering, and other related STEM fields). A Master's degree is an advantage.
At least 4 years of proven experience in software or data engineering in a professional setting.
Familiarity with statistical analysis, machine learning concepts, AI model evaluation and system engineering concepts.
Exceptional problem-solving skills and the ability to troubleshoot complex technical issues.
Strong collaboration and communication skills to work effectively with cross-functional teams.
Flexible and adaptive mindset - we need to deliver solutions with both quality and speed in mind, making decisions based on the dynamic tradeoffs between them along the way.
Experience in working in technically oriented operation environments is an advantage.

Tech stack:

Strong proficiency in Python.
Deep understanding of data pipelines - working with ETLs, CI/CD processes, task management tools such as airflow, cloud environments and varied data platforms such as databricks, athena and postgres.
Experience in using the latest AI developer tools in software engineering, such as cursor / co-pilot, is a must.

Working at Aidoc

Our perks:

Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives)
Office close to HaShalom train station with free parking
Stocked up kitchen & meal card
Breakfast and lunch are made by our personal chef
Wellness- yoga, pilates, and functional workouts in the office
Amazing culture - collaborative, transparent & fun!
Attractive compensation package & benefits