5 дней назад
AI Engineer (Agentic Systems)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Agentic Systems) (LLM/Conversational AI): Building the agentic systems at the core of an AI learning guide, including tutoring loops, learner models, planning, memory, tool use, and verification layers with an accent on long-horizon learner relationships and measurable teaching quality. Focus on designing evaluation harnesses, validating generated teaching, and operating production LLM systems against real learner data.
Location: Mountain View, California, United States; on-site
Company
LearnVector is building a trustworthy AI guide for learning and is backed by a $100 million investment from Coursera.
What you will do
- Design and build multi-step tutoring loops, tool use, memory, and long-horizon planning.
- Develop an evolving, evidence-backed learner model and the systems that read and write it.
- Build evaluation harnesses for conversational and teaching quality and define measurable learning outcomes.
- Design guardrails and verification layers for generated teaching content and tutor claims.
- Work with the founding team on core AI tutor product questions and iterate using real learner data.
Requirements
- 3+ years of software engineering experience.
- Hands-on experience building and operating production LLM systems with Claude, OpenAI, or similar APIs.
- Experience with agentic workflows, tool use, structured output, long-context systems, and memory patterns.
- Strong Python and/or TypeScript/Node engineering skills.
- Ability to turn ambiguous product questions into measurable systems and own services end to end.
- Willingness to work on-site in Mountain View, California.
Nice to have
- Experience with conversational AI products, tutoring systems, or long-running assistant relationships.
- Background in recommendation, personalization, or user-modeling systems.
- Familiarity with education or learning science.
- Experience with voice interfaces or real-time interaction.
Culture & Benefits
- Small, fast-moving engineering team.
- Daily collaboration with the founding team, including Andrew Ng.
- Ownership across design, implementation, evaluation, and iteration.
- Equal-opportunity workplace with reasonable accommodations available throughout the hiring process.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →