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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We are building a highly scalable cloud-based microservices architecture, leveraging Kafka streaming for efficient data processing in AI models. Our tech stack includes Python (Backend/AI), Angular (Frontend), PyTorch, Django, PostgreSQL, RabbitMQ, AWS (Fargate, EC2, S3, Lambda, API Gateway, CloudFront), and modern CI/CD pipelines with Jenkins and Celery.

To strengthen our engineering team, we are looking for a Software Engineer (m/f/d)!

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Responsibilities:

• Design, develop and optimize scalable backend and frontend solutions
• Integrate and maintain our microservices architecture with Kafka streaming
• Implement CI/CD pipelines to ensure smooth feature deployment
• Collaborate with our AI team to integrate explainable AI models (XAI)
• Scale and optimize performance of our AWS infrastructure
• ‍Optimize code for performance and scalability
• Collaborate with product and design teams to implement user-centric solutions
• Troubleshoot and debug issues
• Contribute to system architecture and technical documentation

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field
• 2+ years of experience in software development with Python (Django/FastAPI) or Angular
• Familiarity with cloud technologies (AWS, Kubernetes, Docker, Kafka, RabbitMQ)
• Knowledge of databases (PostgreSQL, NoSQL) and distributed systems
• Experience with CI/CD, Infrastructure as Code (Terraform, Ansible) is a plus
• Passion for automated, AI-powered workflows and cutting-edge technologies
• Familiarity with version control systems like Git

Benefits:

• Competitive salary and equity options
• ‍State-of-the-art tech + Innovative environment: Work with the latest cloud and AI technologies
• ‍Flexibility & ownership: Remote work, flexible hours & project ownership
• ‍Dynamic team: Collaborate with experts in AI, data science & engineering

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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! 🚀