Artificial Intelligence Engineer

Luxoft; Ingolstadt; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

Luxoft is a global IT services provider and we’re looking for an AI/ML Engineer to join a long-term automotive AI project. What you’ll do includes building and optimizing RAG pipelines with Azure AI Search, vector stores and LLMs, plus developing ASR/TTS integrations using Python, PyAudio and librosa.

You’ll prototype intent classification and few-shot learning, and integrate AI services with FastAPI and Kafka.

Qualifikationen

• 3+ years hands-on AI/ML engineering in production.
• Experience with LangChain, LangGraph or similar LLM frameworks.
• Hands-on experience building RAG systems.
• Experience with Azure OpenAI or OpenAI API.
• Knowledge of prompt engineering & LLM evaluation.
• Experience with ASR (Whisper, Azure Speech or equivalent) and TTS.

Aufgaben

• Build and optimize RAG pipelines with Azure AI Search, vector stores & LLMs.
• Develop ASR/TTS integrations and audio processing with Python, PyAudio & librosa.
• Prototype and productionize intent classification, few-shot learning & empathic dialogue.
• Integrate AI services with FastAPI & Kafka.
• Monitor AI quality using metrics such as WER, CER, BLEU & faithfulness.
• Collaborate with ML engineers and cross-functional teams.

Kenntnisse

AI/ML engineering

RAG systems

LangChain/LangGraph

Azure/OpenAI API

Prompt engineering

ASR

Tools

PyAudio

librosa

FastAPI

Kafka

Jobbeschreibung

Luxoft is a global IT services provider and we’re looking for an AI/ML Engineer to join a long-term automotive AI project .

What you’ll do

• Build and optimize RAG pipelines with Azure AI Search, vector stores & LLMs
• Develop ASR/TTS integrations and audio processing with Python, PyAudio & librosa
• Prototype and productionize intent classification, few-shot learning & empathic dialogue
• Integrate AI services with FastAPI & Kafka
• Monitor AI quality using metrics such as WER, CER, BLEU & faithfulness
• Collaborate with ML engineers and cross-functional teams

What we’re looking for

• 3+ years of hands-on AI/ML engineering in production
• Experience with LangChain, LangGraph or similar LLM frameworks
• Hands-on experience building RAG systems
• Experience with Azure OpenAI or OpenAI API
• Knowledge of prompt engineering & LLM evaluation
• Experience with ASR (Whisper, Azure Speech or equivalent) and TTS