(Senior) Backend Engineer

Your mission

We are seeking a highly skilled and experienced Software Engineer to join our team. Even the best of algorithms are worthless without excellent integration into practice. You drive the adoption of our deep learning models by seamlessly integrating them into the radiology workflow. Your role will be critical in ensuring the reliability, scalability and accessibility of our services, directly impacting the product's effectiveness in improving patients lives.

Your responsibilities

• Enhance our AI integration into radiology systems (PACS, RIS, DICOM) to enable scaling up from hundreds to thousands of clinics
• Implement and validate integrations with existing and new radiology systems
• Integrate third-party medical products into our current product portfolio
• Optimize for system stability, security and fast processing times within the medical regulatory frameworks

What are we looking for?

• A degree in a relevant scientific (Computer Science, Software Engineering) discipline or equivalent experience in a related field
• Strong knowledge in software engineering fundamentals
• Proficiency working with Python, basic knowledge in Docker, Kubernetes, and the use of cloud platforms
• A keen eye for detail and a commitment to scientific accuracy
• Excellent english skills
• Strong commitment to teamwork
• Stack: Python (asyncio framework), FastAPI, Docker, DICOM

Good-to-have:

• Experience working with DICOM and/or in the Radiology field is a big plus
• Experience working with edge-deployed devices

Why us

Pioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication and a joyful work experience. Solve novel challenges with life-saving implications.

• We accelerate your learning with rapid feedback, weekly 1:1 sessions and inspiring problems.
• We give you autonomy, flexibility and the opportunity to connect with our generation’s brightest minds.
• We provide flexible remote team culture, company retreats and fair compensation.

Originally posted on Himalayas