AI/ML Engineer – LLM & Voice Pipeline

About the Position

We are seeking a Senior AI/ML Engineer specializing in LLM and voice pipeline for our automotive AI project in Germany. 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).

Responsibilities

• Design, implement, and optimize RAG pipelines integrating Azure AI Search, vector stores, and LLM completion endpoints.
• Develop and maintain ASR and TTS integration modules, including audio pre- and post-processing using pyAudio and librosa.
• Create LLM prompt chains, evaluation frameworks, and safety/alignment guardrails for in-vehicle dialogue scenarios.
• Prototype AI capabilities such as few-shot adapters, intent classification, and empathic dialogue, then transition prototypes to production.
• Collaborate with Backend Engineers to develop the FastAPI/Kafka interface connecting the AI layer with the streaming infrastructure.
• Contribute to edge AI components including on-device inference, model quantization, and latency management for in-vehicle use.
• Monitor and enhance model quality metrics including BLEU, WER, CER, and faithfulness via continuous evaluation pipelines.
• Participate in code reviews with cross-functional teams, including customer ML engineers.

Requirements

• Must have

  • 3+ years of hands-on AI/ML engineering in production environments.
  • Strong Python skills; experience with LLM frameworks: LangChain, LangGraph, or equivalent.
  • Practical experience building RAG systems (chunking strategies, embedding models, retrieval evaluation).
  • Familiarity with Azure OpenAI Service or OpenAI API; prompt engineering best practices.
  • Experience with at least one ASR engine (Whisper, Azure Speech, or equivalent) and a TTS system.
  • English B2 or above.

• Nice to have

  • pyAudio / librosa audio signal processing.
  • Edge inference: ONNX, TensorRT, or on-device model deployment.
  • Automotive in-vehicle speech processing context (noise cancellation, far-field microphones).
  • Experience with LLM evaluation frameworks (DeepEval, Ragas, PromptFlow).
  • German language skills.

We Offer

• Competitive salary
• Remote work options
• Professional development budget

About the Company

DXC Luxoft is a leading provider of AI and cloud services, collaborating with top-tier clients to deliver innovative solutions. Our team is dedicated to pushing the boundaries of AI technology, ensuring our clients stay at the forefront of the industry.