Founding ML Engineer – Spectrum

🕒 January 30

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JetBrains

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

JetBrains is a software company that builds professional developer tools and integrated development environments (IDEs) — including IntelliJ IDEA, PyCharm, WebStorm, Rider, and others — plus team and CI/CD tools like TeamCity, YouTrack, Datalore, and code-quality services. The company also offers AI-powered developer features (Junie, AI Assistant, AI Enterprise), a marketplace for plugins, educational offerings (JetBrains Academy, courses, free licenses for students/teachers), and enterprise services for managing developer tooling at scale. JetBrains focuses on improving developer productivity, collaboration, and code quality for individual developers and organizations worldwide.

📋 Description

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning. • Creating the datasets, metrics, and pipelines that drive measurable improvements across the system. • Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization. • Establishing MLOps practices, including orchestration, observability, and experiment tracking. • Collaborating with the engineering team on system design and with JetBrains Research on the research agenda. • Defining hiring criteria, growing the ML team, and shaping the ML team culture.

🎯 Requirements

• A 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. • A 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. • Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent. • Vector databases and retrieval-augmented generation (RAG) patterns. • Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models. • Strong Python skills – Kotlin knowledge would be a plus. • Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences. • Proficiency in English, both written and verbal.

🏖️ Benefits

• A competitive salary and JetBrains benefits. • A generous runway and corporate resources with startup autonomy.