Senior AI Software Engineer - Full Stack - APEX

Senior
CompanyCGM SE & Co. KGaA
LocationIasi
CategorySoftware Engineering
SenioritySenior
Workplace-
Posted2026-09-21
Viaworkday

Description

Your Role at CGM

As a leading provider of software in the healthcare sector, we operate in 19 countries with over 9,000 dedicated employees, working in a dynamic and innovative environment full of opportunities. With your commitment and passion, you have the chance to make a sustainable difference. Together, we are shaping the healthcare system of tomorrow. Join our mission and be the change – for a world where knowledge saves lives!

Are you passionate about pioneering products? Do you have the talent to transform ideas into concrete, value-adding solutions while always keeping the big picture in mind? If so, we are looking for you !

Your Impact:

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You design,  build  and  operate  modern web applications across our SaaS portfolio, working fluently across frontend,  backend  and DevOps.

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You build AI-native features and agentic experiences into our products, using LLMs, retrieval, tool  use  and structured workflows to deliver tangible value to clinicians and patients.

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You design,  evolve  and  operate  cloud-native services with a strong focus on reliability,  security  and developer productivity, and you contribute to the team's shared agents, skills,  pipelines  and harnesses.

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You collaborate closely with product management, UX, architects and other engineers; you actively raise the engineering bar and the AI-engineering bar within your team.

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You stay close to the user, understand healthcare workflows, and bring an entrepreneurial, outcome-driven mindset to feature delivery.

Your Profile:

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Several years of senior-level full-stack experience covering modern web applications, with depth in at least one frontend (React or Angular) and one backend stack (Java/Spring Boot or Python).

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Solid working knowledge of our core technologies —  React/Angular, Java Spring Boot, Python, C#, Kafka,  Terraform  — and the cloud and DevOps practices that surround them (Kubernetes, Helm,  ArgoCD ). Exposure to LLM tooling (Azure OpenAI, Anthropic SDK, MCP) is a strong plus.

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Demonstrated effective use of AI in software engineering. Hands-on experience with Claude Code or similar — building  agents,  skills  and workflows  — is preferred;  AI pipelines, harnesses and context engineering  are a strong plus.

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Completed degree in computer science, software  engineering  or a comparable technical field.

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Strong problem solving, innovation and proactivity; understanding of product-management processes is a plus; alignment with our healthcare purpose.

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Fluent English; German is a plus.