ppSpectrum 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. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge. /p h3Overview /h3 pSpectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success. /p h3Responsibilities /h3 ul liDesigning and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning. /li liCreating the datasets, metrics, and pipelines that drive measurable improvements across the system. /li liArchitecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization. /li liEstablishing MLOps practices, including orchestration, observability, and experiment tracking. /li liCollaborating with the engineering team on system design and with JetBrains Research on the research agenda. /li liDefining hiring criteria, growing the ML team, and shaping the ML team culture. /li /ul h3Qualifications /h3 ul liA proven track record as an ML/AI Lead. /li liAt least five years of experience in ML/AI systems,



with at least two years focused on LLMs and generative AI. /li liA deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches. /li liHands-on experience with: ul liPrompt engineering and LLM pipeline design, including evaluation. /li liAgentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent. /li liVector databases and retrieval-augmented generation (RAG) patterns. /li liDeploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models. /li /ul /li liStrong Python skills – Kotlin knowledge would be a plus. /li liExcellent communication skills, with the ability to explain complex technical concepts to diverse audiences. /li liProficiency in English, both written and verbal. /li /ul h3Our Idóneo Candidate Would Have /h3 ul liExperience with ontologies, knowledge graphs, or graph-based reasoning. /li liExperience in early-stage startups – you enjoy the zero-to-one phase. /li liThe ability to think strategically about product-led AI, beyond just training models in isolation. /li liA background in code analysis, developer tools, or software engineering research. /li liExperience with multi-agent systems or complex agentic workflows. /li liActively contributed to relevant open-source projects or publications. /li /ul h3Benefits /h3 ul liA competitive salary and JetBrains benefits. /li liA generous runway and corporate resources with startup autonomy. /li /ul h3Equal Opportunity /h3 pWe are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. /p pWe process the data provided in your job application in accordance with the Recruitment Privacy Policy. /p /p #J-18808-Ljbffr

📌 Founding ML Engineer (Spectrum) (Madrid)
🏢 JetBrains
📍 Madrid