Senior AI Software Engineer - Full Stack - APEX
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Jun 17, 2026. CompuGroup Medical scores B on the Alion truth index.
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:
You design, buildand operatemodern web applications across our SaaS portfolio, working fluently across frontend, backendand DevOps.
You build AI-native features and agentic experiences into our products, using LLMs, retrieval, tool useand structured workflows to deliver tangible value to clinicians and patients.
You design, evolveand operatecloud-native services with a strong focus on reliability, securityand developer productivity, and you contribute to the team's shared agents, skills, pipelinesand harnesses.
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.
You stay close to the user, understand healthcare workflows, and bring an entrepreneurial, outcome-driven mindset to feature delivery.
Your Profile:
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).
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.
Demonstrated effective use of AI in software engineering. Hands-on experience with Claude Code or similar - building agents, skillsand workflows - is preferred; AI pipelines, harnesses and context engineering are a strong plus.
Completed degree in computer science, software engineeringor a comparable technical field.
Strong problem solving, innovation and proactivity; understanding of product-management processes is a plus; alignment with our healthcare purpose.
Fluent English; German is a plus.