We're AICU, a young, disruptive startup passionate about harnessing the power of data & automation to revolutionize research. With our intuitive platform, we’ve set out to make R&D not only more efficient but also more creative, impactful, and exciting.

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We're not just writing algorithms; we're shaping the future of Life Sciences through innovative, explainable AI solutions. Explainability opens AI to R&D. Our work empowers researchers in Biotech, MedTech, Pharma, and CROs to accelerate discovery, automate complex workflows, and unlock groundbreaking insights.

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We are building powerful multimodal foundation models - combining different data types, modalities and formats from different sources in one common analysis. Why? Because looking at all available data is what drives great insights, and these deliver innovation. We're looking for bold minds ready to join our adventure and support researchers in theirs.
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Over the past six months, we've been growing fast—expanding our customer base and scaling our team with incredible talent. And now, we're looking for more dedicated adventurers ready to tackle meaningful challenges and create AI, processes, and partnerships that truly matter.

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Background info for this role

Our platform leverages a scalable cloud-based microservices architecture, Kafka streaming for high-performance data processing, and cutting-edge explainable AI (XAI). We work with deep learning, model interpretability, and automation, using technologies like PyTorch, TensorFlow, SHAP, LIME, GradCAM, Django, PostgreSQL, RabbitMQ, and AWS (Fargate, EC2, S3, Lambda, API Gateway, CloudFront).

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Your Role and Mission:

• Drive the development and implement XAI modules (e.g., SHAP, GradCAM, LIME) and work on proprietary models to enhance the explainability and interpretability of AI-based predictions for image, text and numerical data.
• Design, implement, and optimize advanced Computer Vision (CV) and Natural Language Processing (NLP) architectures for multimodal learning across image, text, and numerical data within a unified research platform.
• Design and implement automated visualization and reporting functions for efficient scientific communication.
• Integrate the developed functionalities into our existing AI platform, optimizing scalability and user-friendliness.
• Architect scalable deep learning pipelines using GPU acceleration techniques and apply quantization for efficient inference and reduced latency.

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Your Profile:

• Degree in Computer Science, Data Science, Computational Biology, Physics, Mathematics, or a related field.
• 3+ years of hands-on experience designing, training, and optimizing CV and NLP models using Python and AI frameworks (TensorFlow, PyTorch, Scikit-learn) for real-world applications, from research to scalable deployment.
• Experience with XAI, including SHAP, GradCAM, LIME, and proprietary XAI model development.
• Knowledge of processing and analyzing multimodal data (image, text, numerical data etc ).
• Experience in developing data visualizations (Plotly, Matplotlib, Seaborn) and automated reporting tools.
• Strong team-oriented mindset and willingness to work in an interdisciplinary environment.
• Proficiency in AWS ML services, including SageMaker, ECS Fargate, Lambda, and S3, with strong experience in managing GPU-based workloads.
• Software engineering skills, including version control (Git), CI/CD, Docker, and REST API integration.

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What We Offer:

• A cutting-edge, innovative environment where your contributions will have a direct impact.
• Flexible working hours to accommodate your schedule with 1-3 meetings with the team/week.
• A collaborative co-working space in Heilbronn OR a hybrid setup.
• Work in a fast-paced, idea-driven environment where your contributions shape both the product and your own development.
• ‍Your ideas matter! Enjoy flexible structures, direct collaboration, and be part of a team building a meaningful healthcare solution.

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This adventure isn’t for everyone. It takes curiosity, courage, and dedication. But if you're ready to tackle meaningful problems, grow rapidly, and leave a mark in AI-driven research—reach out!

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Application Process:

‍Don't just email—call us. Find our contacts on our website. Let’s talk or send your LinkedIn/ Github/ Website/ Portfolio to career@aicuflow.com.

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Hiring Timeline:

1. Technical Challenge (Online): Technical/Expert interview where we’ll assess your problem-solving skills and expertise.

2. Final On-Site Interview: Coding or practical challenge with a real task from the dedicated department and field with a chance to meet the team and experience our culture firsthand. You will see what you will be working on and with whom.

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Within 1-2 weeks after your first interview, you will receive our final decision.

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Think you’ve got what it takes? We’d love to see you in action! 🚀