Backend Engineer – LLM Integration (m/f/d)

• 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.

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

We offer

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.