Summary
✨ AI‑Generated
A senior full-stack engineering opportunity focused on modern web applications and AI-native experiences. You will work across frontend, backend, DevOps, and cloud-native services while integrating LLMs, retrieval, tool use, and structured workflows. The role emphasizes reliability, security, developer productivity, user-centered development, and cross-functional collaboration.
Highlights
Senior full-stack role spanning frontend, backend, DevOps, cloud-native engineering, and AI-native product development. Offers the opportunity to work on LLM-powered and agentic experiences, improve reliability and security, and collaborate across product, UX, architecture, and engineering disciplines.
Description
We're hiring on behalf of a Haystack partner!
The Role
• Design, develop, and operate modern web applications across a SaaS portfolio, working across frontend, backend, and DevOps layers.
• Integrate AI-native features and agentic experiences into products, leveraging LLMs, retrieval, tool-use, and structured workflows to add value for healthcare professionals and patients.
• Design, develop, and operate cloud-native services with a focus on reliability, security, and developer productivity, contributing to shared agents, skills, pipelines, and harnesses.
• Collaborate closely with Product Management, UX, Architecture, and Engineering teams to enhance engineering and AI engineering quality and shape best practices for agentic applications.
• Understand healthcare workflows and maintain a user-centric, outcome-driven mindset in feature development.
What You'll Need
• Several years of senior-level experience in full-stack engineering of modern web applications, with deep expertise in at least one frontend stack (React or Angular) and one backend stack (Java/Spring Boot or Python).
• A university degree (Master's or PhD) in Computer Science, Software Engineering, or a comparable technical field, with above-average academic performance.
• Practical experience with core technologies such as React/Angular, Java Spring Boot, Python, Kafka, Terraform, and cloud/DevOps environments (Kubernetes, Helm, ArgoCD).
• Demonstrated effective use of AI in software engineering, ideally including experience with LLM tools and agentic coding tools, as well as designing AI pipelines and context engineering.
• Fluent German and English language skills, strong problem-solving abilities, a proactive and innovative mindset, and excellent collaboration skills.
What's On Offer
• Competitive salary
• Flexible hybrid work arrangements.
• Opportunities for professional development through internal and external training programs.
• Access to employee wellness programs and benefits.
Apply via Haystack today!
