AI/ML Engineer at Luxoft Germany

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 27

Salary

90000.0

Posted On

03 Oct, 26

Experience

20 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

ResponsibilitiesDesign, 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.

SkillsMust have3+ 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

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Responsibilities

ResponsibilitiesDesign, 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.

SkillsMust have3+ 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