Full Stack Engineer - Agentic Systems (m/f/d)

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 RESPONSIBILITIESDesign and implement agentic workflows, tool/skill integrations, and orchestration logic for operational use casesDevelop safe and reliable execution patterns for agentic systems, including guardrails, fallbacks, retries, and auditabilityIntegrate agentic capabilities with internal systems such as case/ticket workflows, automation engines, and digital product componentsContribute to the design of structured context models, typed tool interfaces, and decision flowsEvaluate and improve agent performance through testing, evaluations, feedback loops, and production monitoringSupport internal/admin tools for the configuration, observability, and review of agent behaviourCollaborate closely with product managers, engineers, and domain experts to translate process knowledge into reliable agentic softwareYOUR QUALIFICATIONS & SKILLSDegree in Computer Science, Engineering, or equivalent experienceStrong software engineering background with end-to-end production system developmentSolid backend experience (ideally C#/.NET) and distributed/cloud service designHands-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, guardrailsExperience integrating AI systems with APIs, databases, queues, workflow engines, and operational backendsFamiliarity 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 plusPrevious experience with evaluation pipelines and regression testing for AI/agentic systems is highly desirableStrong ownership, pragmatic implementation mindset, and ability to balance autonomy, reliability, and maintainabilityStructured problem-solving in ambiguous contexts, clear communication, and collaborative attitudeFluent English; German and/or Italian is a plusOUR COMMITMENTInnovative work environment in a young, dynamic teamHigh-tech projects in the future-proof sector of e-mobilityOpportunities for advancement in a growing companyA wide range of further training opportunitiesAttractive bonus system and performance-related payAdditional company benefitsJ-18808-Ljbffr