Backend Engineer – LLM Integration

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

Munich, Germany

Req. VR\-125085

AI/ML

Automotive Industry

24/09/2026

Req. VR\-125085

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