Senior AI Engineer

Wearehaystack — Germany · Posted ~1 hour ago

Senior Full-time

Skills

Full-stack engineering Web application development LLMs Retrieval Tool use Agentic workflows Cloud-native services DevOps Cloud security Software architecture AI agents Cloud-native Web applications

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Summary ✨ AI‑Generated

Join a technology team building modern web applications and AI-native capabilities across a SaaS environment. You will work across frontend, backend, DevOps, and cloud layers while integrating LLMs, retrieval, tool use, and structured agentic workflows. The role combines hands-on engineering with architecture, reliability, security, and AI engineering best practices.

Highlights

Senior AI engineering role spanning frontend, backend, DevOps, cloud-native systems, and AI-native product features. Offers the opportunity to build agentic applications using LLMs, retrieval, tool use, and structured workflows while contributing to engineering standards and reliable AI systems.

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 to enhance engineering and AI engineering quality and establish 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 completed university degree (Master's or PhD) in Computer Science, Software Engineering, or a comparable technical field with above-average academic performance. • Solid practical experience with core technologies such as React/Angular, Java Spring Boot, Python, C#, Kafka, Terraform, and cloud/DevOps environments (Kubernetes, Helm, ArgoCD). • Proven effective use of AI in software engineering, ideally including agentic coding tools and experience in designing AI pipelines, harnesses, and context engineering. • Fluent German and English language skills, strong problem-solving abilities, a passion for innovation, high proactivity, and excellent collaboration skills. What's On Offer • Competitive salary • Flexible hybrid work model with the option to work remotely two days a week. • Opportunities for professional development through an in-house academy and external partners. • Access to wellness facilities, including healthy meal options and a fitness studio. Apply via Haystack today!