Germany
ALTEN
Adesso SE
Lead Software Engineer GenAI Enterprise Applications (all genders)
Germany
Karlsruhe, Baden-Württemberg, Germany · Stuttgart, Baden-Württemberg, Germany · Ulm, Baden-Württemberg, Germany · Walldorf, Baden-Württemberg, Germany · Augsburg, Bavaria, Germany · Munich, Bavaria, Germany · Nuremberg, Bavaria, Germany · Bremen, Bremen, Germany · Frankfurt, Hesse, Germany · Hanover, Lower Saxony, Germany · Rostock, Mecklenburg-Vorpommern, Germany · Stralsund, Mecklenburg-Vorpommern, Germany · Aachen, North Rhine-Westphalia, Germany · Bonn, North Rhine-Westphalia, Germany · Cologne, North Rhine-Westphalia, Germany · Dortmund, North Rhine-Westphalia, Germany · Dusseldorf, North Rhine-Westphalia, Germany · Essen, North Rhine-Westphalia, Germany · Münster, North Rhine-Westphalia, Germany · Paderborn, North Rhine-Westphalia, Germany · Siegen, North Rhine-Westphalia, Germany · Koblenz, Rhineland-Palatinate, Germany · Saarbrücken, Saarland, Germany · Dresden, Saxony, Germany · Leipzig, Saxony, Germany · Kiel, Schleswig-Holstein, Germany · Neumünster, Schleswig-Holstein, Germany · Jena, Thuringia, Germany · Berlin, Germany · Hamburg, Germany
TypeScriptJavaReactDockerKubernetes
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YOUR ROLE
- Develop Enterprise-Ready GenAI Solutions: You will develop agentic systems and GenAI functionalities with us that run robustly, scalably, and auditably in enterprise landscapes.
- Implement AI Architectures: You will implement architectural patterns such as AI microservices, AI gateways, and control layers according to our Principles for Enterprise-Ready AI Applications.
- Integrate GenAI into Business Applications: You will integrate GenAI into existing enterprise applications – for example, for assistants, automations, agent orchestration, or intelligent workflows.
- Separation of Concerns & DSLs: You will work with meta-models, domain languages, and structured interfaces, rather than leaving arbitrary "prompt zoos" in the code.
- Testing, Monitoring & Policies: You will build tests, telemetry, and guardrails for AI components to ensure behavior remains traceable, monitorable, and controllable.
- TechStack: You will work in Backend (Java, Spring Boot/Quarkus), in Frontend (TypeScript, React/Angular/Vue) or Fullstack – always closely integrated with cloud and platform teams.
YOUR PROFILE
- Experience with Enterprise Systems: You bring several years of experience in developing business-critical applications, ideally in microservice or event-driven architectures. (Very good knowledge of Java/Spring Boot/Quarkus and/or TypeScript/React/Angular/Vue; experience with Docker/Kubernetes and at least one major cloud is a plus).
- GenAI Engineering Know-how: Your first real projects with LLMs/GenAI (e.g., Retrieval-Augmented Generation, agents, tool-calling, workflow orchestration) are not new territory for you.
- Clean Architecture Thinking: You have a clear understanding of separation of concerns, deterministic control layers, and can clearly separate AI components from core logic.
- Security and Quality Awareness: You think in terms of policies, logging, observability, tests, and fallbacks, not just in terms of quick prototypes.
- Team-Oriented & Curious: You work closely with architects, data/ML teams, and business departments, learn quickly, and help turn concepts into productive GenAI solutions.
- Language Skills: Very good German and English skills.
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