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AI Engineer

AI Fund· Engineering
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Mountain View, CAFull-timePosted 2mo ago

About the role

AI Engineer to build agentic systems for LearnVector’s tutoring product, focusing on learner modeling, long-horizon planning, evaluation, and guardrails for trusted AI-powered teaching.

Responsibilities

  • Design and build the agentic core: multi-step tutoring loops, tool use, memory, and planning over long-horizon learner relationships
  • Build the learner model — the evolving, evidence-backed representation of what each learner knows, wants, and responds to — and the systems that read and write it
  • Build evaluation harnesses for conversational quality and teaching quality, and use them to drive iteration; define what "this session taught something" means operationally and measure it
  • Design guardrails and verification layers so generated content and tutor claims meet a bar a trusted brand requires
  • Work daily with the founding team, including Andrew, on the hardest product questions: what should an AI tutor do, and how do we know it's working?

Qualifications

  • AI-native: you default to AI-assisted coding and building agentic automations in everything you do, you have an appetite for and record of experimenting with the newest AI engineering practices
  • Experience as a software engineer, with substantial hands-on work building with LLM APIs (Claude, OpenAI, or similar): agentic workflows, tool use, structured output, long-context and memory patterns
  • Experience shipping and operating LLM systems in production, including evaluating them - you have opinions about evals because you've built them
  • Strong Python and/or TypeScript/Node engineering skills; comfort owning services end to end
  • Ability to turn a fuzzy product question ("is the tutor actually helping?") into a measurable system, and ship without heavy oversight

Skills

Required:AI-native software developmentLLM APIsProduction ML/AI systemsPython
Nice to have:TypeScript/Node
Last updated Oct 21, 2026. Interested? Apply on the company site.

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