Senior Software AI Engineer

MAM Gruppe

München

Vor Ort

EUR 90.000 - 130.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Company pension scheme
Job bike scheme
Corporate benefits programme
In-house academy

Zusammenfassung

MAM Gruppe is seeking a Senior Software AI Engineer (Full-Stack) to drive AI features across its SaaS portfolio. You will work across modern frontend and backend stacks, and collaborate with DevOps to ensure reliable cloud-native services.

You will own AI pipelines, harnesses, and context engineering, while aligning with product, UX, and architecture teams to deliver high-impact features in a fast-paced environment.

Qualifikationen

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Several years of senior full-stack experience with a depth in one frontend stack (React or Angular) and one backend stack (Java/Spring Boot or Python).
  • Practical experience with React/Angular, Java Spring Boot, Python, Kafka, Terraform, and cloud/DevOps tools (Kubernetes, Helm, ArgoCD).
  • Experience with LLM tooling and agentic coding approaches is a strong plus.

Aufgaben

  • Design, develop, and operate modern web applications across the SaaS portfolio, working across frontend, backend, and DevOps.
  • Integrate AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows.
  • Build and operate cloud-native services with a focus on reliability, security, and developer productivity.
  • Expand shared agents, skills, pipelines, and harnesses with the team.
  • Work with Product, UX, Architecture, and Engineering to raise engineering and AI quality and shape best practices for agentic applications.
  • Stay close to users and domain workflows, bringing an entrepreneurial, outcome-driven mindset to feature development.

Kenntnisse

React
Angular
Java Spring Boot
Python
LLM tooling
Agentic coding
AI pipelines
Context engineering
German language
English language

Ausbildung

Bachelor's degree in Computer Science or Software Engineering

Tools

Kubernetes
Terraform
ArgoCD
Helm
Kafka

Jobbeschreibung

Senior Software AI Engineer (Full-Stack) | Munich, Berlin

A leading European SaaS company is embedding AI and agentic technology across its product portfolio. As Senior Software AI Engineer (Full-Stack), you'll work across frontend, backend, and DevOps to help drive this forward.

The role:

  • Design, develop, and operate modern web applications across the SaaS portfolio, working across frontend, backend, and DevOps.
  • Integrate AI-native features and agentic experiences using LLMs, retrieval, tool use, and structured workflows.
  • Build and operate cloud-native services with a focus on reliability, security, and developer productivity.
  • Expand shared agents, skills, pipelines, and harnesses with the team.
  • Work with Product, UX, Architecture, and Engineering to raise engineering and AI quality and shape best practices for agentic applications.
  • Stay close to users and domain workflows, bringing an entrepreneurial, outcome-driven mindset to feature development.

What you'll need:

  • Several years of senior full-stack experience, with depth in one frontend stack (React or Angular) and one backend stack (Java/Spring Boot or Python), ideally with end-to-end product ownership.
  • A degree in Computer Science, Software Engineering, or a related field, with strong academic performance.
  • Practical experience with React/Angular, Java Spring Boot, Python, Kafka, Terraform, and cloud/DevOps tools (Kubernetes, Helm, ArgoCD).
  • Experience with LLM tooling and agentic coding approaches is a strong plus.
  • A track record of using AI effectively in software engineering, including designing AI pipelines, harnesses, and context engineering.
  • Fluent German and English, strong problem-solving skills, high proactivity, and excellent collaboration skills.
  • Modern, well-equipped offices with regular company events.
  • In-house academy and external development programmes for continuous professional growth.
  • Company pension scheme, job bike scheme, corporate benefits programme, and more.
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