wagey.ggwagey.ggv1.0-68eec7a-3-May
Browse Tech JobsCompaniesFeaturesPricingFAQs
Log InGet Started Free
Jobs/ML Engineer Role/JetBrains - Founding ML Engineer (Spectrum)
JetBrains

JetBrains - Founding ML Engineer (Spectrum)

Remote - Germany3mo ago
RemoteSeniorEMEAArtificial IntelligenceDeveloper ToolsML EngineerTech LeadVectorKotlinPythonMLOps

Upload My Resume

Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT

Apply in One Click
Apply in One Click

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. • Experience with ontologies, knowledge graphs, or graph-based reasoning. • Experience in early-stage startups – you enjoy the zero-to-one phase. • The ability to think strategically about product-led AI, beyond just training models in isolation. • A background in code analysis, developer tools, or software engineering research. • Experience with multi-agent systems or complex agentic workflows. • Actively contributed to relevant open-source projects or publications.

Responsibilities

• 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. • We expect you to have: • 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. • We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Similar Jobs

WhoopWhoop - Technical Lead, ML Operations2d ago
·Boston, MA - Hybrid·$150k - $215k/year
In OfficeNAStaffCloud ComputingArtificial IntelligenceTech LeadML EngineerJavaPythonTeam ManagementRecords ManagementAWS
InMobiInMobi - Senior Product Manager — User Store & AI Intelligence Platform2d ago
·Bangalore
In OfficeAPACSeniorData AnalyticsOil & GasSenior Product ManagerTeam LeadershipVectorData Governance
Get Started Free

No credit card. Takes 10 seconds.

Privacy·Terms··Contact·FAQ·Wagey on X