Project description
Our 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).
Responsibilities
Backend 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.
Skills
Must have
3+ 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 have
Azure services: AKS, Azure OpenAI, Managed Identity, CosmosDB.
Terraform or Bicep for infrastructure-as-code.
Automotive domain or OEM project experience.
Async Python patterns (asyncio, aiohttp).
German language skills.
Other
Languages
English: B2 Upper Intermediate
Seniority
Senior
Ingolstadt, Germany
Req. VR-125085
AI/ML
Automotive Industry
18/09/2026
Req. VR-125085
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