AI Engineer

We're building a team focused on creating a strategically important product from scratch. Think startup inside a scale-up — focused and fast, with solid backing. As an AI Engineer with a data analytics background, you will build data and analytics infrastructure around their LLM pipeline — target ontology, knowledge base, quality-controlled labeling. Over time, you'll also contribute to the LLM pipeline itself. Responsibilities include maintaining and developing the target ontology and knowledge base, designing the data pipeline (collection, cleaning, labeling, validation), generating synthetic datasets, developing labeling methodology (guidelines, process, golden sets, automated checks, QA), writing Python tools to automate processes, and contributing to other modules of the LLM pipeline.

• 3+ years in data analytics or Data Science
• Strong Python — can build a pipeline or tool, cover it with tests, and hand it off to the team
• Strong SQL
• Deeply "AI-pilled" — understands how to get stable, predictable, high-quality output from AI agents
• Statistical literacy
• Ability to turn a complex, messy system into something clear and structured
• Nice to have: Experience building ontologies, taxonomies, or knowledge graphs; Experience with crowdsourcing and data labeling; Experience with RAG systems and vector search

• Competitive salary, at or above market
• Direct impact on the company's core product
• Full-time or project-based, remote or in-person (negotiable)
• Company-paid subscriptions to Claude Code / Codex / Cursor