3 дня назад
Software Engineer, Fullstack (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Fullstack (AI): Building an end-to-end AI learning product with an accent on personalized learner experiences, streaming interactions, session memory, content verification pipelines, and production infrastructure. Focus on designing scalable serving systems, integrating LLM APIs, improving observability, and making foundational architecture decisions for thousands of concurrent learner sessions.
Location: On-site in Mountain View, California, United States
Company
LearnVector is building a trustworthy AI guide for learning, founded by Andrew Ng and backed by a $100 million investment from Coursera.
What you will do
- Build and own large parts of the product across frontend experiences, backend services, data layers, and deployment.
- Make and revisit foundational architecture and implementation decisions.
- Build the serving layer for AI-driven learning experiences, including streaming responses, session and memory state, and background generation and verification jobs.
- Design graceful degradation for unreliable model behavior and establish testing, CI, monitoring, and observability standards.
- Ship production improvements alongside the founding team and contribute directly to product decisions.
Requirements
- 4+ years of experience building and shipping production web applications end to end.
- Strong TypeScript/JavaScript and modern web framework experience, such as React or Next, with backend experience in Node or Python.
- Solid API design and SQL skills.
- Experience owning production systems, including deployment, monitoring, incident response, and performance.
- Experience integrating LLM APIs into products, including streaming interactions.
- Ability to make architecture decisions under uncertainty, explain the reasoning, and adapt based on evidence.
Nice to have
- Early-stage startup experience.
- Real-time or voice interaction experience with WebSockets, WebRTC, or audio pipelines.
- Data pipeline or event analytics experience.
- Consumer product sensibility and attention to interaction details.
Culture & Benefits
- Full-time, on-site work with a small, fast-moving team.
- Direct exposure to product decisions and collaboration with the founding team.
- Opportunity to shape the architecture of a personalized AI learning platform at an early stage.
- Equal-opportunity workplace committed to mutual respect and qualification-based hiring.
- Confidential reasonable accommodations are available throughout the application and interview process.
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