AI Engineer (Full-stack)

About the companyTaste Labs is building the data and infrastructure layer for taste.Our goal is to end AI slop. To make AI feel right, not just be correct. We raised $18.5M in seed co-led by Amplify and CRV, and most frontier labs are already customers.AI has nailed objective domains and can generate anything. The hard part left is judgement: what fits, what feels like you, what's actually GREAT. We're turning that into something measurable, starting with design.We do it on two sides: building the post-training data and RL environments that teach taste to frontier models, and the context and verification tools agents need to produce work that's more creative, more on-brand, more right.If that problem excites you, you'll like it here!About the RoleYou'll build the AI systems that power taste evals, tooling, data collection, API and RL environments - from agent architectures and data pipelines to the product surfaces where users interact with our platform. The work skews backend (synthetic data, embeddings, crawling, evaluation systems) but you'll also ship front-end tooling and gamified experiences when needed. Early stage, high ownership, lots of building from scratch.Types of problems you’d work onCraft agent harnesses, memory and self-improvement loopsDesign evaluation pipelines and synthetic data generationEval design and grading of unverifiable domainsCreate embedding and retrieval infrastructure that scales to millions of requestsBuild crawling and scraping systems for visual data across the webSet up inference serving and APIs for client-facing productsDevelop the tooling and infrastructure that makes everything reliable and fastShip internal tools for data operations and external tools for expert annotatorsBuild gamified product experiences: taste quizzes, leaderboards, reward flowsWhat matters to usStartup DNA: You've built at early-stage companies (pre-seed to Series C) and operate well in ambiguityReal AI building experience: You've shipped agent systems, built with LLMs, and understand the craft - whether through your job, open source, or serious personal projects.Genuine curiosity about taste: This problem is hard, nuanced and undefined. You find that energizing, not frustrating.Creative problem-solving: We're not optimizing existing systems. We're inventing infrastructure for something that doesn't exist yet.Bonus pointsOpen source contributions or personal projects that show you build things because you're curiousBackground at creative companies (Figma, Notion, Canva, Adobe, Runway, etc.) or companies with strong index building/crawling (e.g. Firecrawl, Brave, Luma, Pika) or data (Mercor, Surge, etc.)