AI Engineer

ppNebuly is a fast-growing, VC-backed startup building the data and intelligence infrastructure for enterprise AI agents. /ppEvery enterprise function — sales, customer support, HR, finance — is deploying AI agents at scale. Every day, millions of conversations happen between employees and customers and these agents. Those conversations are the most valuable new data asset an enterprise produces — but they are unstructured, high-volume, and invisible without the right infrastructure. /ppNebuly plugs into the conversations flowing between users and enterprise AI agents, builds structured knowledge graphs from them, and surfaces the patterns that help leaders make decisions on adoption, quality, and ROI. /ppEvery new type of enterprise data has created a new category of software. CRM for customer interactions. Product analytics for user behavior. Nebuly is building that infrastructure layer for AI agent conversational data — a category that will touch every enterprise on the planet. /ppOur customers include Vodafone, CNH, Oura, and others. Demand is accelerating fast — and we are building the team to match. /ph3What you’ll do /h3pThe AI team sits at the core of Nebuly's product: every customer-facing insight — from taxonomy classification to failure detection to ROI estimation — is powered by the models and pipelines this team builds and operates. You'll work closely with the Full Stack and Product teams to ship AI-driven features that go straight into production for enterprise customers, and you'll be one of the people directly responsible for the accuracy, reliability, and scalability of Nebuly's core AI systems. /ph3Responsibilities /h3ulliDesign, train, and iterate on classification and taxonomy models (including multi-label classification and rule-based/LLM-based hybrids) that power Nebuly's core product /liliBuild and extend the ingestion and enrichment pipelines that process enterprise customer interaction data at scale, with attention to performance, cost, and reliability /liliWork on our ROI product line: estimating human time saved, mapping cost per hour per class, and building the taxonomy and trust logic behind it /liliImprove the robustness and performance of PII detection models, including evaluating alternative open-source LLMs and improving training data /liliContribute to and extend the MCP server and other AI-facing tooling used internally and by customers /liliBuild and maintain a shared automated testing framework for evaluating models, datasets, and classification pipelines /liliInvestigate and fix model and data issues reported directly by enterprise customers, often under production time pressure /liliWork on LLM inference efficiency: batching, caching, token usage, and model migrations as providers evolve /liliRun PoCs and technical discovery for new AI-driven product capabilities, from scoping to prototype /liliCollaborate closely with Product and Engineering to translate ambiguous product requests into shipped AI features /liliParticipate in code and model reviews, and help raise the technical bar of the AI team /li /ulh3Requirements /h3ulliMinimum 1-3 years of hands-on experience building and shipping ML/AI systems in production /liliStrong Python skills, including experience with data processing and ML/LLM pipelines /liliPractical experience with classification systems (traditional ML and/or LLM-based approaches, prompt-based or fine-tuned) /liliComfort working with messy, real-world data and debugging model behaviour on live customer data /liliExperience with at least one of: PostgreSQL, ClickHouse, or similar data stores /liliAbility to write tests and think rigorously about evaluation and validation of ML systems /liliStrong problem-solving skills and the autonomy to take a project from ambiguous discovery to shipped feature /liliComfortable communicating directly with customers and other stakeholders, owning customer-facing issues and prioritising under pressure /li /ulh3What we offer /h3pbHigh-impact work in small, fast-moving teams. /b At Nebuly, you’ll work in small, entrepreneurial teams with a high degree of ownership and autonomy. Regardless of your seniority, your contributions will have a direct impact—from the earliest ideas to product launch. You’ll have the chance to build things from scratch and see your code evolve into real products used at scale. /ppbA platform for real growth. /b As more and more companies rely on our platform to understand and optimize their AI experiences, new challenges and opportunities emerge constantly. This means your role won’t stay static—you’ll keep growing with the product, facing new technical and strategic problems as we scale. /ppbCompetitive pay + equity + benefits. /b We offer a salary in the range of €50,000–€72,000 gross per year, depending on the outcome of the technical interview, plus meal vouchers worth up to €2,400/year and meaningful stock options in a fast-scaling company /p /p #J-18808-Ljbffr