As a Full Stack Engineer you will be designing and implementing agentic software systems within a new digital operations product area. The role is expected to build systems that interpret operational context, orchestrate tools and workflows, and support reliable automated decisioning across internal platforms and service processes. YOUR RESPONSIBILITIES Design and implement agentic workflows, tool/skill integrations and orchestration logic for operational use cases Develop safe and reliable execution patterns for agentic systems, including guardrails, fallbacks, retries and auditability Integrate agentic capabilities with internal systems, such as case/ticket workflows, automation engines and digital product components Contribute to the design of structured context models, typed tool interfaces and decision flows Evaluate and improve agent performance through testing, evaluations, feedback loops and production monitoring Support internal/admin tools for the configuration, observability and review of agent behaviour Collaborate closely with product managers, engineers and domain experts to translate process knowledge into reliable agentic software YOUR QUALIFICATIONS & SKILLS Degree in Computer Science, Engineering, or equivalent experience Strong software engineering background with end‑to‑end production system development Hands‑on experience with agentic or LLM‑based systems (tool calling, orchestration, context handling) Understanding of agentic concepts: skills/tools, multi‑step workflows, memory/state, evals, guardrails Experience integrating AI systems with APIs, databases, queues, workflow engines, and operational backends Familiarity with cloud platforms, CI/CD, containerization, and observability tooling; some frontend/full‑stack experience; familiarity with frameworks like LangGraph, Semantic Kernel, PydanticAI, OpenAI tool calling, Temporal and a background in operationally critical software, industrial systems, IoT, or workflow automation are considered a plus Previous experience with evaluation pipelines and regression testing for AI/agentic systems is highly desirable Strong ownership, pragmatic implementation mindset, and ability to balance autonomy, reliability, and maintainability Structured problem‑solving in ambiguous contexts, clear communication, and collaborative attitude Fluent English; German and/or Italian is a plus OUR COMMITMENT Innovative work environment in a young, dynamic team High-tech projects in the future-proof sector of e‑mobility Opportunities for advancement in a growing company A wide range of further training opportunities Attractive bonus system and performance‑related pay Additional company benefits Unsere Stellenausschreibung richtet sich an alle Menschen – unabhängig von Geschlecht, sexueller Orientierung, Alter, ethnischer Herkunft, Nationalität oder religiöser Überzeugung. Wir handeln im Einklang mit den Prinzipien der Vielfalt, Inklusion, Gleichberechtigung und Nichtdiskriminierung gemäß dem Gesetzesdekret Nr. 198/2006. #J-18808-Ljbffr