Backend Engineer: LLM & Kafka for AI Voice Systems

Luxoft Germany; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

DXC Luxoft seeks a Backend Engineer to join a joint product team delivering an AI-powered in-vehicle voice assistant. The role emphasizes Python development, FastAPI microservices, and Kafka-based event streams within an AKS/Azure environment.

You will implement LLM orchestration, manage Azure OpenAI integration, and ensure robust testing and deployment practices. English proficiency (B2+) is required, and automotive domain experience is a plus.

Qualifications

• 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.

Responsibilities

• Build and maintain FastAPI microservices that orchestrate LLM calls and agentic workflows.
• Implement Kafka producers/consumers for real-time data and AI triggers.
• Integrate with Azure OpenAI endpoints and manage prompt routing.
• Write unit, integration and contract tests; maintain code quality gates in Azure DevOps.
• Containerise services with Docker; deploy on AKS and manage Helm/Terraform configs.
• Participate in code reviews and contribute to architectural decisions.
• Monitor service health with Azure Monitor; triage production incidents.
• Document APIs (OpenAPI) and maintain ADRs for key decisions.

Skills

Python

REST APIs

LLM orchestration

English (B2)

Tools

FastAPI

Kafka

Docker

Kubernetes

Job description

DXC Luxoft seeks a Backend Engineer to join a joint product team delivering an AI-powered in-vehicle voice assistant. The role emphasizes Python development, FastAPI microservices, and Kafka-based event streams within an AKS/Azure environment.

You will implement LLM orchestration, manage Azure OpenAI integration, and ensure robust testing and deployment practices. English proficiency (B2+) is required, and automotive domain experience is a plus.