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).
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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).