Senior AI Software Engineer - Full Stack - APEX

CompuGroup Medical · HealthTech · e-Salute · Iasi

IasiIngegneria17 giugno 2026Letto su Workday
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Descrizione

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

  • 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.

  • 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.

  • 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, skills and workflows — is preferred; AI pipelines, harnesses and context engineering are a strong plus.

  • Completed degree in computer science, software engineering or 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.

Stack rilevato

In breve

Pubblicata il 17 giugno 2026 · vista per la prima volta il 12 settembre 2026

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