AI/ML Engineer

ResponsibilitiesLLM configuration and optimization (Mistral, LLaMa, Qwen or others) – fine-tuning, quantization, performance tuningAssess required computational resources, select optimal infrastructure for model deployment (on-premise or cloud) and analyze cost efficiencyImplement RAG to integrate models with vector databasesOrchestrate interactions between multiple ML services (e.g., one model generates tags and another validates task descriptions)Develop a service for interacting with the model (API for predictions, model management, integration with our application)Optimize model performance for real-world usageRequirements1+ years experience with LLM models (Mistral 7B, GPT-3/4, LLaMA, Claude, Falcon, Bloom, etc.)Understanding of Retrieval-Augmented Generation (RAG) and model integration with databasesProficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChainExperience evaluating and optimizing infrastructure for AI deploymentsExperience developing APIs for integrating AI models into business processesEnglish level at least A2-B1Nice to HaveHands-on experience with fine-tuning and dataset preparation/annotationExperience with vector databases (Pinecone, Weaviate, FAISS)Experience with JavaWe OfferRegular result-based salary reviewsComfortable working hours (10-19 Kyiv time zone)Bonus systemEstablished product-focused environmentRange of tasks from quick and simple to challenging investigationsCheerful & dynamic environmentFriendly and open-mind teamVirtual workspace with perspective to move into one of the officesMentorshipAttractive social package (unlimited and paid sick days, fully paid vacation, birthday day off, etc.)Sport and English classes discountsHiring StepsFirst interview with the RecruiterTechnical interview with the Team LeadJob OfferEnglish: B1Experience: 1 yearWork location: RemoteOffice: Prague, CZWork type: Full-timeApply nowJ-18808-Ljbffr