Germany
Universal Quantum
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 · 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 work with us to develop agentic systems and GenAI functionalities that are robust, scalable, and auditable within enterprise landscapes.
- Implement AI architectures: You will implement architectural patterns such as AI microservices, AI gateways, and control layers in accordance with our principles for enterprise-ready AI applications.
- Integrate GenAI into business applications: You will integrate GenAI into existing enterprise applications – e.g., for assistants, automations, agent orchestration, or intelligent workflows.
- Separation of concerns & DSLs: You will work with meta-models, domain-specific languages, and structured interfaces instead of leaving an arbitrary "prompt zoo" in the code.
- Testing, monitoring & policies: You will build tests, telemetry, and guardrails for AI components so that behavior remains understandable, monitorable, and controllable.
- Tech stack: 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 practical experience in the development of 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 expertise: Initial real-world projects with LLMs/GenAI (e.g., retrieval-augmented generation, agents, tool-calling, workflow orchestration) are not new territory for you.
- Clean architectural mindset: 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, rather than just 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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