Ai/ml Engineer

Responsibilities LLM configuration and optimization (Mistral, LLaMa, Qwen or others) – fine‑tuning, quantization, performance tuning Assess required computational resources, select optimal infrastructure for model deployment (on‑premise or cloud) and analyze cost efficiency Implement RAG to integrate models with vector databases Orchestrate 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 usage Requirements 1+ 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 databases Proficiency in Python and libraries like PyTorch, TensorFlow, Hugging Face, and LangChain Experience evaluating and optimizing infrastructure for AI deployments Experience developing APIs for integrating AI models into business processes English level at least A2‑B1 Nice to Have Hands‑on experience with fine‑tuning and dataset preparation/annotation Experience with vector databases (Pinecone, Weaviate, FAISS) Experience with Java We Offer Regular result‑based salary reviews Comfortable working hours (10‑19 Kyiv time zone) Bonus system Established product‑focused environment Range of tasks from quick and simple to challenging investigations Cheerful & dynamic environment Friendly and open‑mind team Virtual workspace with perspective to move into one of the offices Mentorship Attractive social package (unlimited and paid sick days, fully paid vacation, birthday day off, etc.) Sport and English classes discounts Hiring Steps First interview with the Recruiter Technical interview with the Team Lead Job Offer English: B1 Experience: 1 year Work location: Remote Office: Prague, CZ Work type: Full‑time Apply now #J-18808-Ljbffr