(Senior) Full-stack Developer - Backend Focus (Python)
Company Overview:
Mindpeak is a Hamburg-based scale-up at the forefront of AI-driven cancer diagnostics. Our software helps pathologists analyze medical images more efficiently and accurately - already clinically deployed in more than 25 countries. Our vision is to enable personalized and effective treatment for every cancer patient - to truly improve medical care and patient outcomes around the world.
Position Summary:
As a Full-Stack Developer within the ML team, you’ll play a key role in designing and building the software systems that power our AI models — from database and API development to workflow automation and UI integration. You’ll collaborate closely with our ML engineers to connect engineering excellence with cutting-edge medical AI.
Please note: This is an onsite position in Hamburg.
You’ll work on:
Designing and implementing robust backend services and databases for AI pipelines, model results, and clinical data.
Developing and maintaining scalable, containerized systems (Docker/Kubernetes) for large-scale image processing and inference.
Supporting workflow automation and debugging across distributed systems (e.g. Dagster, Argo, Kubeflow).
Building and extending frontend components for model management and result visualization (React.js or similar).
Collaborating with ML Scientists and Product Engineers to integrate AI models into production environments.
Your Responsibilities:
Architect and optimize database systems ensuring high reliability and performance.
Automate and monitor workflow execution for model training, calibration, and inference.
Maintain and document scalable CI/CD and deployment pipelines.
Ensure code quality, reproducibility, and clarity across all development processes.
Your Profile:
Strong experience in Full-Stack or Backend Development (Python, Django/FastAPI preferred).
Solid experience in database development (PostgreSQL, MySQL, or equivalent).
Experience with containerization (Docker, Kubernetes) and Linux environments.
Bonus: Experience with Machine Learning integration (model APIs, inference pipelines).
Bonus: Familiarity with MLOps/DevOps tools (DVC, CI/CD, Dagster).
Bonus: Familiarity with frontend technologies (React.js or similar).
Strong communication skills, curiosity, and motivation to work in healthcare AI.
Why Mindpeak:
Join a mission-driven company developing AI that helps save lives and elevates cancer diagnostics worldwide.
Work in an open, creative environment with flat hierarchies, quick decisions, and close collaboration across disciplines.
Be part of a highly skilled, international team of engineers and scientists, guided by experienced leadership and united by impact.
Enjoy a centrally located Hamburg office with a stunning harbor view, and a culture that fosters continuous learning, autonomy, and collaboration.
Application Details:
We’d love to hear from you! Please send us your CV, university certificates, transcripts, references, salary expectations, and let us know your earliest possible start date.
You can reach us at [email protected]. For more about us, visit mindpeak.ai.
Just a quick note: We’re only able to consider direct applications—agencies, please don’t apply. Thank you!
Skills Required
- Strong experience in Full-Stack or Backend Development
- Solid experience in database development
- Experience with containerization
- Strong communication skills and motivation to work in healthcare AI
What We Do
Mindpeak's mission is to enable personalised cancer treatment through AI tissue diagnostics Our partners are leading pathology and university labs. Our team consists of world-class industry experts in machine learning and company building. Mindpeak's Impact The demand for medical image analysis is growing rapidly but the number of cancer experts remains the same - this results in growing workloads per specialist. We help cancer experts meet this challenge. We build automation tools for visual diagnosis using state-of-the-art artificial intelligence and deep learning. Our tools assist cancer experts in providing reliable and reproducible diagnoses. This frees specialists from tedious, repetitive tasks such as quantification of cells or biomarkers and allows them to focus on tasks where their human expertise is indispensable. If you want to get in touch with us send us an E-Mail via [email protected].
