AI Solution Engineer
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AI Solution Engineer
Location
Tel Aviv-Yafo, Tel Aviv District, Israel
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantFull-timeHybrid
Job Description
**About Aidoc**
Aidoc is revolutionizing clinical decision-making with real-time clinical AI imaging solutions, impacting over 60 million patients annually.
Our technology empowers physicians to diagnose urgent cases, ultimately improving patient outcomes. Powered by our proprietary aiOS, Aidoc assists clinicians by precisely highlighting suspected pathological findings directly on medical images and prioritizing cases. This ensures that urgent patients receive the immediate attention they need.
As a leader in clinical AI, Aidoc has the most FDA-cleared Computer-Aided Detection (CAD) solutions, with adoption in more than 1,600 medical centers worldwide. Since our founding in 2016, Aidoc has secured over $500 million in funding and was recognized as one of TIME’s 50 most genius companies.
**About this role:**
The 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.
You will 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). A Master's degree is an advantage.
- At least 3 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)
- We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees.
- Amazing and healthy breakfasts and lunches prepared daily by our personal chef!
- Stocked up kitchen & meal card
- Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes.
- Amazing culture - collaborative, transparent & fun!
- Attractive compensation package & benefits
*Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.*
Key Responsibilities
- Automate and streamline AI operations including deployment, data validation, and reporting.
- Collaborate with Product and R&D teams to ensure production feasibility and scalability.
- Lead end-to-end tool development and pipeline implementation.
- Drive engineering quality and mentor team members.
- Investigate and resolve complex data challenges and performance anomalies.
- Collaborate with customer-facing teams to bridge operational challenges and AI system behavior.
- Ensure ongoing AI model reliability through monitoring and performance tracking.
- Develop monitoring and analytics frameworks for production health and AI performance.
Requirements
- Bachelor's degree in Computer Science
- Data Science
- or Engineering
Skills Required
PythonETLCI/CDAirflowDatabricksAthenaPostgreSQLStatistical analysisMachine learning conceptsAI model evaluationSystem engineeringCursorCo-pilotProblem solvingCollaborationCommunicationAdaptabilityFlexible thinkingMentoringTechnically oriented operation environments
Benefits
- Hybrid work model
- Employee parking
- Daily healthy breakfasts and lunches
- Stocked kitchen and meal card
- Employee-only gym
- Pilates, Yoga, and functional workouts classes
- Attractive compensation package
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