Founding ML Engineer (Spectrum)

DeepCamp; Berlin, München; À distance; EUR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Competitive salary

JetBrains benefits

Startup autonomy

Résumé du poste

DeepCamp is seeking a founding ML Engineer to lead the ML/AI stack for Spectrum, owning data ingestion, knowledge extraction, retrieval, and reasoning. You will design datasets and pipelines, select models, and optimize inference while aligning with product goals.

You will build multi-agent workflows, establish MLOps, collaborate with engineering and JetBrains Research, and help grow the ML team. Strong leadership, solid Python skills, and excellent communication are essential.

Qualifications

• Proven ML/AI Lead track record.
• 5+ years in ML/AI systems; 2+ years with LLMs.
• Hands-on experience with prompt engineering and LLM pipelines.
• Experience with LangChain, LlamaIndex, LangSmith, smolagents, or equivalent.

Responsabilités

• Design and build the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and reasoning.
• Create datasets, metrics, and pipelines driving measurable improvements.
• Architect and improve agents for context retrieval, knowledge extraction, and data alignment (prompt engineering, model selection, inference optimization).
• Establish MLOps practices including orchestration, observability, and experiment tracking.
• Collaborate with engineering and JetBrains Research; define hiring criteria and grow the ML team.

Connaissances

ML/AI Lead

LLMs

Prompt engineering

Python

English fluency

System design

Research collaboration

Outils

LangChain

LlamaIndex

LangSmith

smolagents

Vector databases

OpenAI

Description du poste

jetbrains# Founding ML Engineer (Spectrum)Berlin; Munich; Remote · REMOTESign in to applyFree account · 30 seconds## About the roleSoftware engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 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. 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. Spectrum 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. Your### responsibilitieswill include: 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### experiencein 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### experiencewith: 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. Our ideal candidate would have:### Experiencewith ontologies, knowledge graphs, or graph-based reasoning.### Experiencein 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.### Experiencewith multi-agent systems or complex agentic workflows. Actively contributed to relevant open-source projects or publications. What we offer A competitive### salaryand JetBrains### benefits. A generous runway and corporate resources with startup autonomy. #LI-KP1 We 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. We process the data provided in your job application in accordance with the Recruitment Privacy Policy. Find Jobs in Germany on Arbeitnow