HN Jobs

A searchable index of Hacker News “Who is hiring?” job postings.

← All postings · October 2025 thread

Memorang (AI-powered EdTech stack)

Full-Stack Engineers

CompanyMemorang (AI-powered EdTech stack)
Websitememorang.com
Roles
  • Full-Stack Engineers
  • Senior AI Agents Engineers
Typefull-time
Role taxonomyFull-stack / Product EngineeringSoftware EngineeringSenior
SpecialtiesFull-stack, Software Engineering
LocationLos Angeles, CA · Remote
Salary
Apply viaApplication linkhttps://memorang.com/careers · careers@memorang.com
Hiring notes
TechTypeScriptReactNext.jsNode.jsPostgreSQLAWSML/AI
Parsed locationsLos Angeles, CA
Posted bykirin_memorang
PostedOct 8, 2025
SourceView on Hacker News ↗

Original posting

Memorang (AI-powered EdTech stack) | Full-Time | Los Angeles, CA (remote) Our mission: Build the AI stack for education—an agentic framework to launch, monetize, and power learning apps 50× faster. We bootstrapped to profitability, were voted #1 among 1,500 in the Vercel AI Accelerator, and collectively reach tens of millions of learners. --------- Open Roles: Full-Stack Engineers: Work on mission-critical, rapid POCs to MVPs using TypeScript, React/Next.js, AWS Lambda, Postgres, and Neo4j. Help shape infrastructure and UI for bleeding-edge AI-powered features. Senior AI Agents Engineers: Own modular agent architecture, RAG pipelines, and LangGraph-based systems in TypeScript/Node.js. Architect reasoning layers, agent memory, and performance tuning for intelligent learning agents. Graph Engineer (Neo4j “guru”) – Lead graph modeling, Cypher optimization, and scaling strategies for our core knowledge graph. Product Designers: Design intuitive UX/UI for AI-powered content creation and learning tools. Collaborate closely with engineers on fast-moving features. We're looking for Figma power users who think in systems, move quickly, and have a portfolio of clean, polished, shipped work. Technical Product Managers: Define schemas, APIs, and workflows that bridge AI research to production. Own developer tooling, agent orchestration layers, and internal platforms like Linear/Notion. Drive clarity, velocity, and scalability across multi-agent, LLM-powered systems. -------- Why Memorang? Remote-first, async-friendly team with flexible hours Health & wellness stipends, home-office support, paid time off Opportunity to ship systems used by millions—at a built-for-speed profitable startup. -------- Apply here: https://memorang.com/careers Or email careers@memorang.com with your CV, a short note (1–3 sentences) about which role excites you and why, and a link to your best project or portfolio.