LLM Agent Developer

MVA LLM Developer | Mercedes-Benz > Karriere > Jobsuche > Stellenausschreibungen DE EN HU Anbieter/DatenschutzUnternehmenTechnologieNachhaltigkeitKarriereInvestorenPresse ProdukteKarriereJobsucheMVA LLM DeveloperTätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:RD ChinaGesellschaft:Mercedes-Benz Group China Ltd.Standort:Mercedes-Benz Group China Ltd., BeijingStartdatum:sofortVeröffentlichungsdatum:07.05.2026Stellennummer:MER00041XEArbeitszeit:Vollzeit BewerbenAufgabenDesign and develop the next-generation in-car MVA Agent architecture,including: - Build agentic systems with design patterns such as ReAct, Plan-and-Execute, and Tool Calling / Function Calling - Integrate LLM provider APIs and implement multi-model orchestration and routing strategies - Develop conversational memory services covering short-term dialogue context and long-term user profiling - Design and implement standardized tool-calling interfaces for vehicle capabilities - Perform Prompt Engineering, RAG pipeline development, and model evaluation to continuously optimize AI quality - Conduct unit testing, integration testing, and AI-specific evaluation (eval datasets, A/B testing) to ensure delivery quality - Submit and deploy code via CI/CD pipelines on Azure cloudDrive cross-team technical alignment and solution design as the technical owner for the Agent architectureProduce and maintain system architecture proposals, interface design documents, and technology selection reports, including:- Output architecture proposals for new Agent features and review them with the team lead- Maintain API specifications and tool-calling schemas- Document AI system behavior, prompt versioning, and evaluation results across the product lifecycleContinuous improvement of AI development methodologies and tool chains including: - Evaluate and adopt new LLM capabilities, Agentf rameworks, and AI coding tools (Cursor, Copilot, Claude Code) - Monitor production performance, track AI quality metrics, and drive post-go-live optimization - Stay current with industry trends in LLM, Agent,and automotive AI QualifikationenBachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related fieldAt least 3+ years of experience in LLM application development, AI Agent development, or similar AI engineering rolesHands-on experience in building AI Agent systems from scratch; familiar with agentic design patterns such as ReAct, Plan-and-Execute, Tool Calling / Function Calling, and agent memory managementFamiliar with at least one mainstream agent orchestration framework (e.g. LangChain / LangGraph, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or Dify / Coze)Deep understanding of mainstream LLM capabilities and limitations (e.g. GPT-5, Claude, Doubao/Seed, Qwen, DeepSeek, GLM, MiniMax); experience with multi-model orchestration and routing is a plusProficient in Prompt Engineering: System Prompt design and optimization, Chain-of-Thought (CoT), Few-shot prompting, Prompt Chaining, structured output generation (JSON mode / Function Calling), and guardrailsProven project experience with RAG: hands-on with vector databases (Milvus, Pinecone, Chroma, pgvector, or similar), embedding strategies, chunking strategies, hybrid search (semantic + keyword), and re-rankingExperience in AI system evaluation: evaluation metric design, A/B testing for AI features, building evaluation pipelines (e.g. RAGAS or custom eval frameworks)Understanding of conversational memory architectures: short-term dialogue context management and long-term user profiling / episodic memoryStrong Python programming ability (primary language for AI development); Go language development experience (team's main tech stack)Proficient in cloud technology, especially micro-service architecture, API design, and cloud-native deployment on platforms such as AzureAbility to independently produce system architecture proposals, interface design documents, and technology selection reportsProficient in AI-assisted programming tools such as Cursor, GitHub Copilot, or Claude Code for daily developmentStrong ownership mentality — proactively drives cross-team alignment without waiting for instructionsSelf-driven, team-oriented, and excellent communication skills; able to simplify complex problems and decompose them into actionable tasksGood English communication skills, Good German language is a plusBenefits Mit­arbeiter Events Flexible Arbeits­zeit möglich Hybrides Arbeiten möglich Gesund­heits­maß­nahmen Mobilitäts­angebote Mit­arbeiter­rabatte möglich Gute An­bindung Barriere­frei­heit Park­platz Betriebs­arzt Kantine, Café KontaktMercedes-Benz Group China Ltd.LSH Tower C, 8 Wangjing Street100102 BeijingDetails zum StandortNing Ruan E-Mail: ning.ruan@mercedes-benz.com BewerbenDie Mercedes-Benz Group.Die Mercedes-Benz Group AG (ehemals Daimler AG) ist eines der erfolgreichsten Automobilunternehmen der Welt. Mit der Mercedes-Benz AG gehören wir zu den größten Anbietern von Premium- und Luxus-Pkw und Vans. Die Mercedes-Benz Mobility AG bietet Finanzierung, Leasing, Fahrzeugabos und –miete, Flottenmanagement, digitale Services rund um Laden und Bezahlen, die Vermittlung von Versicherungen sowie innovative Mobilitätsdienstleistungen an.Mehr erfahrenTechnische Support-HotlineKontaktStandorteAnbieterRechtliche HinweiseEinstellungenDatenschutzLizenzhinweise DritterAllgemeine Geschäftsbedingungen© 2026. Mercedes-Benz AG. Alle Rechte vorbehalten (Anbieter)