ml engineer for AI knowledge systems

an ML/AI Lead;At least five years of experience in ML/AI systems, including at least two years focused on LLMs and generative AI;Deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches;Hands-on experience with prompt engineering and LLM pipeline design, including evaluation;Experience with agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent;Experience with vector databases and retrieval-augmented generation (RAG) patterns;Experience deploying and scaling LLM-powered applications using APIs such as OpenAI or Anthropic, or open-source models;Strong Python skills;Excellent communication skills and ability to explain complex technical concepts to diverse audiences;Proficiency in English, both written and verbal;Nice to have: Kotlin knowledge, experience with ontologies, knowledge graphs or graph-based reasoning, early-stage startup experience, strategic thinking about product-led AI, background in code analysis, developer tools or software engineering research, experience with multi-agent systems or complex agentic workflows, contributions to relevant open-source projects or publications.УсловияCompetitive salary and JetBrains benefits;Generous runway and corporate resources with startup autonomy;Equal opportunity workplace. #J-18808-Ljbffr