Full Stack Engineer

1 week ago

Ramat Gan, Tel Aviv, Israel Sheba Medical Center, Tel Hashomer Full time ₪70,000 - ₪120,000 per year

ARC, Sheba Medical Center's Innovation arm, is building a next-generation artificial intelligence (AI) Center for the AI-based hospital. This entails developing and implementing AI-driven solutions in the clinical field.

Position: Full Stack Developer (AI Applications)

We are looking for a full stack developer to play a pivotal role in designing, developing, and maintaining innovative software solutions that directly impact healthcare outcomes. This role offers a unique opportunity to work at the intersection of healthcare and technology, contributing to the advancement of patient care and medical research through AI-powered applications.

Key Responsibilities
:

·Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.

·Design, develop, test, and deploy web applications using cutting-edge technologies.

·Create intuitive and responsive user interfaces that optimize user experience.

·Develop server-side logic and APIs for seamless integration with databases and external systems such as LLMs and in-house ML models.

·Ensure code quality, security, and scalability of applications.

·Stay up-to-date with emerging technologies and industry trends, and apply them to ongoing projects.

·Participate in code reviews, knowledge sharing, and continuous improvement initiatives.

·Contribute to a culture of innovation, collaboration, and creative problem-solving within the AI Hub team.

Qualifications
:

·Must have: at least 3 years of experience as a developer in a team working on a customer facing product.

·Strong expertise in back-end technologies like , Python, or Java.

·Proficiency in front-end technologies such as HTML, CSS, JavaScript (React, Angular, or similar).

·Bachelor's degree in Computer Science, Software Engineering, or a related field is an advantage.

·Experience with AI and ML systems and application is a huge advantage.

·Experience with relational and non-relational databases and data modeling.

·Familiarity with version control (Git) and continuous integration/continuous deployment (CI/CD) pipelines.

·Solid understanding of RESTful APIs and microservices architecture.

·Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Extra Qualifications
:

·Experience with cloud platforms such as AWS, Azure, or Google Cloud.

·Familiarity with DevOps practices and containerization (Docker, Kubernetes).

·Knowledge of machine learning concepts and integration of AI solutions into applications.

·Previous work in healthcare or related industries, demonstrating an understanding of healthcare challenges.

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