Project descriptionOur client is advancing its in-vehicle voice assistant into an intelligent, AI-powered companion. Since 2024, they have been incorporating large-language-model capabilities (Azure OpenAI / ChatGPT) into vehicles equipped with the MIB3 infotainment system, with new E³-architecture models featuring enhanced voice functions from the factory. The AIME (AI Model Engine) backend program supports this development over a multi-year timeline, addressing natural-language dialogue, empathic communication, and the complete cloud-edge data pipeline. DXC Luxoft serves as the end-to-end delivery partner, collaborating closely with the client’s engineers within a joint product team on the Azure platform (AKS, Azure OpenAI, Managed Identity, Azure Monitor, Azure DevOps).ResponsibilitiesBackend Engineers in this stream own the integration layer between the AI/ML components and the vehicle/cloud communication backbone. The stack is Python-first, event-driven via Kafka, and exposed through FastAPI services running on AKS. You will work inside the joint product team, picking up S/M/L backlog tickets and shipping production-ready code.Build and maintain FastAPI microservices that orchestrate LLM calls, tool use, and agentic workflows using LangChain / LangGraph.Implement Kafka producers and consumers for real-time voice session data, telemetry, and event-driven AI triggers.Integrate with Azure OpenAI endpoints via LiteLLM abstraction; manage prompt versioning and A/B routing.Write unit, integration, and contract tests (pytest, Pact); maintain coverage and quality gates in Azure DevOps.Containerise services with Docker; deploy and operate on AKS; contribute to Helm chart and Terraform configuration.Participate in code reviews with Audi engineers and contribute to joint architectural decisions.Monitor service health using Azure Monitor / Application Insights; triage and resolve production incidents.Document APIs (OpenAPI) and maintain ADR entries for significant implementation decisions.SkillsMust have3+ years professional Python development, including production web services.Experience with FastAPI (or Flask/Django) for REST API design.Familiarity with at least one LLM orchestration framework: LangChain, LangGraph, or LiteLLM.Apache Kafka — producer/consumer implementation; at-least-once vs exactly-once semantics.Docker and Kubernetes basics (deployment manifests, service configuration).English B2 or above.Nice to haveAzure services: AKS, Azure OpenAI, Managed Identity, CosmosDB.Terraform or Bicep for infrastructure-as-code.Automotive domain or OEM project experience.Async Python patterns (asyncio, aio language skills.OtherLanguagesEnglish: B2 Upper IntermediateSenioritySeniorMunich, GermanyReq. VR- AI/MLAutomotive Industry18/09/2026Req. VR-
Backend Engineer – LLM Integration in München Arbeitgeber: Luxoft
Unser Unternehmen ist ein hervorragender Arbeitgeber, der innovative Technologien und eine dynamische Arbeitsumgebung in Baar, Schweiz, bietet. Wir fördern eine Kultur der Zusammenarbeit und des kontinuierlichen Lernens, in der Mitarbeiter die Möglichkeit haben, an spannenden Projekten zu arbeiten und ihre Fähigkeiten durch den Einsatz modernster AI-gestützter Entwicklungstools weiterzuentwickeln. Zudem bieten wir attraktive Benefits und unterstützen die berufliche Weiterentwicklung unserer Mitarbeiter, um sicherzustellen, dass sie in ihrer Karriere wachsen können.
