Mindpeak is a Hamburg-based AI company dedicated to democratizing cancer diagnostics. Our software supports pathologists in detecting cancer faster and more accurately by applying state-of-the-art deep learning to medical images. Our AI solution is the first to be implemented in clinical histopathology for primary diagnostics in the USA and is used in routine workflows around the world.
We tackle a central challenge in modern healthcare: a growing demand for medical image analysis with a static number of cancer experts. By providing powerful, robust tools for visual diagnosis, we help pathologists focus on what only humans can do best—while our technology takes care of the rest.
Position Summary
Role: AI driven (Senior) Backend Developer Python
Focus: Building and scaling high-quality backend services that power AI models and digital pathology tools. Establishing AI-agentic development workflows.
Team: You’ll be part of the development team, working closely with machine learning, product, and front-end colleagues. You will report directly to our VP Engineering.
Digital pathology comes with unique technical challenges: whole-slide images with file sizes of several gigabytes and resolutions up to 100,000 x 100,000 pixels. You’ll help design and implement solutions such as efficient image streaming via an advanced image server, ensuring that our AI models can be served reliably to pathologists, labs, and partners worldwide.
In this role, you will play a key part in building up Mindpeak’s AI agentic development knowledge, tooling, and workflows.
You’ll work on:
Building a new platform for digital pathology using a modern, multi-agent AI coding workflow.
Turning cutting-edge AI models into robust, scalable APIs for real-world clinical use
Building tools and services to automate our data annotation and image processing pipelines
Integrating scanners, image viewers, and lab information systems into seamless, automated workflows
Shaping and scaling AI-supported development workflows across teams
Shaping technical decisions from the ground up in a fast-moving, high-impact environment
Your Responsibilities
Design, develop, test, deploy, maintain, and improve backend services that serve machine learning models in production.
Write clean, maintainable, and well-tested code with a strong focus on reliability and performance.
Build automation tools to streamline and optimize our data annotation pipeline.
Work with technologies such as Docker, AWS, Python, and (partially) React to develop best-in-class digital pathology tools.
Integrate existing pathology hardware and software (e.g. scanners, image viewers, LIS) into automated workflows.
Manage your own project priorities, deadlines, and deliverables with a high degree of ownership.
Collaborate closely with product, design, front-end, deep learning, and infrastructure colleagues to keep everything running smoothly.
Select and implement the most effective technical approach for each task.
Build up AI agentic development workflows, including the evaluation and adoption of AI coding agents to improve developer productivity and software quality.
Define best practices for AI-assisted software development and share this knowledge across the organization.
Background & Experience
MSc in Computer Science or a related field, or equivalent practical experience.
At least 3–5 years of professional experience with impactful contributions to software products.
Strong track record in backend development with Python.
Experience with Linux and Docker; Linux server administration/operations is a plus.
Extensive experience leading and mentoring junior developers.
Hands-on experience working with AI coding agents or AI-assisted development tools (e.g. agentic coding frameworks, LLM-based developer tools).
Experience in orchestrating AI coding agents
Experience with Google Jules, Cursor or Claude Code
Skills & Mindset
Solid software engineering skills; experience with web development (JavaScript and CSS) is a plus.
Curiosity for technical hardware devices and experience interfacing with them via APIs.
Interest in the technological ecosystem of laboratories (e.g. whole-slide scanners, image viewers).
Enjoy working in interdisciplinary teams and “thinking outside the box.”
Able to work independently and drive your own projects forward.
Strong analytical skills and a commitment to continuous learning, mentoring, and knowledge sharing.
Strong interest in AI-driven software engineering and emerging development paradigms.
Willingness to take ownership beyond pure implementation and actively shape how software is built at Mindpeak.
Comfortable in a fast-paced, dynamic environment with shifting priorities.
Fluent in English; German is a plus.
The opportunity to bring cancer diagnostics to a whole new level and make a real impact on patient care.
An open, creative work environment with flat hierarchies and quick decision-making.
Close collaboration with a skilled, international team and experienced management.
Diverse, engaging projects that help you deepen both your technical and domain expertise.
A centrally located Hamburg office with a beautiful view over the harbor.
Please send us:
CV
University certificates and transcripts of records
Job references
Salary expectations
Earliest possible starting date
Contact:
Email: [email protected]
Note: Direct applicants only. We do not work with recruiting agencies for this position.
Skills Required
- At least 3-5 years of professional experience in software development
- Strong track record in backend development with Python
- Experience with Linux and Docker
- Extensive experience leading and mentoring junior developers
- Hands-on experience with AI coding agents or AI-assisted development tools
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].
