2 months ago
Limassol, Cyprus +6 moreStaff+
Responsibilities
- Design and build ML/LLM solutions for data ingestion, knowledge extraction, retrieval, reasoning, and data alignment.
- Create datasets, metrics, and pipelines that drive measurable system improvements.
- Architect and improve agents using prompt engineering, model selection, and inference optimization.
- Establish MLOps practices for 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 its culture.
Requirements
- Proven track record as 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 LLM ecosystems, model architectures, and fine-tuning approaches.
- Hands-on experience with prompt engineering, LLM pipeline design, evaluation, agentic frameworks, vector databases, RAG patterns, and deployment of LLM-powered applications.
- Strong Python skills; Kotlin knowledge is a plus.
- Excellent communication skills and proficiency in written and verbal English.
- Preferred experience includes ontologies, knowledge graphs, graph-based reasoning, early-stage startups, product-led AI, code analysis, developer tools, software engineering research, multi-agent systems, open-source contributions, or relevant publications.
Benefits
- Competitive salary and JetBrains benefits.
- Generous runway and corporate resources with startup autonomy.
About JetBrains
JetBrains builds software development tools, best known for the IntelliJ IDEA family of IDEs (including PyCharm, CLion, Rider) and team products like TeamCity, YouTrack, and Space. It also created the Kotlin programming language, widely used for Android development. Founded in 2000 and headquartered in Amsterdam, the privately held company sells commercial licenses and subscriptions to individual developers, teams, and enterprises.