Company Overview

Mindpeak is a Hamburg-based AI company applying state-of-the-art deep learning to computational pathology, with a clear mission: enabling more effective, personalized cancer treatment.

We work at the intersection of AI, medicine, and drug development-building regulatory-grade solutions that help pharma, biotech, and clinical partners discover, validate, and translate meaningful biomarkers into real-world impact.

Our technology analyzes H&E, IHC, and multiplex tissue data to support drug development, patient stratification, and clinical trials. What makes this work especially rewarding: our AI is already deployed in routine diagnostics in more than 25 countries, meaning the tools we build are used by clinicians and patients every day.

At Mindpeak, we believe that reliable, clinically applicable AI can change how cancer is treated. If you want to work on challenging problems, collaborate across disciplines, and see your work make a real difference in patient care, you’ll feel at home here.

Position Summary

Role: Senior Backend Developer Python

Focus: Building and scaling high-quality backend services that power AI models and digital pathology tools.

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.

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 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.

Your Profile

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).

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.
• 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.

What Mindpeak Offers

• 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.

Application Details

Please send us:

• CV
• University certificates and transcripts of records
• Job references
• Salary expectations
• Earliest possible starting date

Contact:

• Email: jobs@mindpeak.ai

Note: Direct applicants only. We do not work with recruiting agencies for this position.