ML инженер

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. It aims to revolutionize the semantic layer space for software-building organizations by providing a living spec extracted from the whole system to serve as a single source of truth for product and architectural knowledge.

• Design and build the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and reasoning;
• Create datasets, metrics, and pipelines to drive measurable system improvements;
• Architect and improve agents for context retrieval, knowledge extraction, and data alignment, including prompt engineering, model selection, and inference optimization;
• Establish MLOps practices, including orchestration, observability, and experiment tracking;
• Collaborate with the engineering team on system design and with JetBrains Research on the research agenda;
• Define hiring criteria, grow the ML team, and shape the ML team culture.

• Proven track record as an ML/AI Lead;
• At least five years of experience in ML/AI systems, with 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, LLM pipeline design, and evaluation;
• Experience with agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or equivalent;
• Proficiency with vector databases and retrieval-augmented generation (RAG) patterns;
• Experience deploying and scaling LLM-powered applications using APIs or open-source models;
• Strong Python skills;
• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences;
• Proficiency in English (written and verbal);
• Nice to have: Experience with ontologies, knowledge graphs, or graph-based reasoning, experience in early-stage startups, 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, active contributions to relevant open-source projects or publications, Kotlin knowledge.

• Competitive salary and JetBrains benefits;
• Generous runway and corporate resources with startup autonomy.