Artificial Intelligence Engineer

Luxoft; Ingolstadt; On-site; EUR 70,000 - 105,000; Full time

Job summary

Luxoft in Germany is seeking an AI/ML engineer to build and optimize RAG pipelines, integrate ASR/TTS, and develop prompt chains with LLM frameworks.

You will work with Python, LangChain, Azure OpenAI, and edge AI concepts, collaborating with ML engineers and cross-functional teams to deliver production-ready AI solutions.

Qualifications

• 3+ years of hands-on AI/ML engineering in production.
• Strong Python skills.
• 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>.
• English B2+

Responsibilities

• Build and optimize RAG pipelines with Azure AI Search, vector stores & LLMs.
• Develop ASR/TTS integrations and audio processing with Python, PyAudio & librosa.
• Create LLM prompt chains, evaluation frameworks & AI guardrails.
• Prototype and productionize intent classification, few-shot learning & empathic dialogue.
• Integrate AI services with FastAPI & Kafka.
• Contribute to edge AI, on-device inference, model quantization & latency optimization.
• Monitor AI quality using metrics such as WER, CER, BLEU & faithfulness.
• Collaborate with ML engineers and cross-functional teams

Skills

AI/ML engineering

Python

LangChain

LangGraph

LLM frameworks

RAG systems

Azure OpenAI

OpenAI API

Prompt engineering

LLM evaluation

ASR

TTS

English B2+

Audio processing

Job description

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
• Create LLM prompt chains, evaluation frameworks & AI guardrails
• Prototype and productionize intent classification, few-shot learning & empathic dialogue
• Integrate AI services with FastAPI & Kafka
• Contribute to edge AI, on-device inference, model quantization & latency optimization
• 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
• Strong Python skills
• 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
• English B2+