Job
- Level
- Experienced
- Job Field
- Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you will develop backend services for integrating AI features in vehicles by building FastAPI microservices, implementing Kafka for real-time data, and working with Azure OpenAI.
Job Technologies
Your role in the team
- 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 acts as the end-to-end delivery partner, working closely with the client's engineers within a joint product team on the Azure platform (AKS, Azure OpenAI, Managed Identity, Azure Monitor, Azure DevOps).
- 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.
- Containerize 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.
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Our expectations of you
Qualifications
- Vertrautheit mit mindestens einem LLM-Orchestrierungsframework: LangChain, LangGraph oder 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.
Experience
- 3+ Jahre professionelle Python-Entwicklung, einschließlich produktiver Webservices.
- Experience with FastAPI (or Flask/Django) for REST API design.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Luxoft
As a leading IT service provider, Luxoft offers innovative technology solutions that help global enterprises achieve measurable business results. Services include strategic consulting, custom software development resources, and technical solution development. This allows companies to compete successfully by utilizing our expertise in industries such as financial services, automotive, communications, and healthcare & life sciences.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(3 Reviews)Culture
4.4Career Growth
4.7Engineering
4.3Workingconditions
4.6
Backend Engineer - LLM Integration
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
