🪃 About Memorang

Our mission is to automate how humans learn and acquire skills. The first step in our journey is to build the AI stack for education to transform the credentialing and publishing industries with the best tools to build curricula, assessments, and apps at scale.

After winning #1 (of 1,500) in the Vercel AI Accelerator we bootstrapped to millions in revenue and profitability while delivering over 200MM assessments via our AI platform. We also just closed our first strategic investment to scale faster and deploy our solution to millions of additional learners.

We’re a lean, talented team that rewards agency, curiosity, and shipping real products that directly impact the lives of millions.

"Memorang has literally the best gen AI results I've seen applied to a real world problem."

• Director of Trust and Safety, Google Deepmind

🎯 Role

As our Senior AI Agents Engineer, you'll design, build, and scale the intelligent systems that power learning experiences for millions. You'll work on cutting-edge agent infrastructure that learns, reasons, and improves over time.

This is a hands-on, highly technical role that combines backend engineering, AI experimentation, and strategic thinking. We've already deployed agent-powered products to real users—now we're scaling to millions more.

🛠️ Sample projects could include…

• Building a multi-agent orchestration system using LangGraph that coordinates content generation, review, and publishing workflows—cutting content creation time by 60%.
• Simplifying agent debugging by creating observability tooling (traces, logs, debugging UI) that helps the team understand agent reasoning in production.
• Designing an introspective evaluation framework where agents score their own outputs and trigger human review loops when confidence is low.
• Improving agent personalization by implementing memory using Neo4j to maintain learner context across sessions.
• Driving agent runtime optimization, reducing median response latency from 4s to 800ms without sacrificing output quality.
• Partnering with Product to prototype a new agent type that conducts Socratic tutoring conversations, from research to beta deployment in 3 weeks.

🤝 You might be a fit if you…

• Have 5+ years in backend engineering with hands-on experience building and deploying agentic systems or LLM-powered workflows.
• Are familiar with LangGraph or a similar agent orchestration framework.
• Are proficient in TypeScript, Node.js, and serverless deployment patterns.
• Have worked with both relational (PostgreSQL) and graph (Neo4j) databases.
• Have a strong grasp of modular code design, introspective logging, and agent state management.
• Establish AI development patterns for the team, not just use them yourself.
• Can validate multi-million dollar architectural decisions through POCs.
• Write clean, composable code that scales and build abstractions that make systems easier to evolve.