Summary
✨ AI‑Generated
Join a senior engineering team building modern web applications and cloud-native services across frontend, backend, and DevOps layers. You will integrate AI-native capabilities using LLMs, retrieval, tool use, and structured workflows, while improving reliability, security, and developer productivity. The role combines hands-on engineering with technical collaboration and best-practice development.
Highlights
Senior-level role spanning full-stack, cloud, DevOps, and AI engineering, with opportunities to build AI-native experiences, influence engineering best practices, and work on solutions that improve outcomes for users.
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!
