Job
- Level
- Erfahren
- Job Feld
- Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Ingolstadt
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In diesem Job entwickelst du Backend-Lösungen auf Python-Basis und integrierst KI-Funktionen für Fahrzeugsysteme, während du FastAPI-Microservices baust und Kafka für Echtzeit-Datenverarbeitung nutzt.
Job Technologien
Deine Rolle im 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 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).
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 3+ years professional Python development, including production web services.
- Experience with FastAPI (or Flask/Django) for REST API design.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Luxoft
Luxoft ist ein weltweit führender Anbieter von innovativen Technologielösungen, die nachweisbare Geschäftsergebnisse für multinationale Unternehmen erzielen. Das Angebot umfasst strategische Beratung, maßgeschneiderte Softwareentwicklungsdienste und Digital Solution Engineering. Luxoft ermöglicht es Unternehmen, durch die Nutzung seiner branchenübergreifenden Kompetenzen in den Bereichen Finanzdienstleistungen, Automobilwirtschaft, Kommunikation und Healthcare & Life Sciences wettbewerbsfähig zu bleiben. Weitere Informationen finden Sie auf der Website.
Description
- Unternehmenstyp
- Digitale Agentur
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Arbeitgeber-Reviews
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Gesamt
(3 Bewertungen)Culture
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4.3Workingconditions
4.6
Backend Engineer - LLM Integration
- Ort
- Ingolstadt
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
