About the job

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 doBuild 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 for3+ 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+

·        Generative AI and LLM Engineering: LLM Application Development, Retrieval Augmented Generation (RAG), Prompt Engineering, LangChain, LangGraph, AI Agents, Multi Agent Systems, Model Context Protocol (MCP), Hugging Face Transformers, OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Groq

·        Vector Search and Data Engineering: ChromaDB, FAISS, Pinecone, Sentence Transformers, Semantic Search, Python, SQL, PostgreSQL, Pydantic

·        Machine Learning and Deployment: Deep Learning, TensorFlow, PyTorch, Natural Language Processing, Computer Vision, FastAPI, SQLAlchemy, Alembic, Docker, Docker Compose, MLOps, Microsoft Azure, CI/CD

·        Analytics, Tools and Methods: Tableau, Power BI (DAX), Git, GitHub, JWT Authentication, REST API Design, Agile Delivery