AI Agents Engineer

## 🎯 Role As a `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 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, Mastra 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. - Have deep curiosity, an experimentation mindset, and can debug abstract systems. - Communicate clearly and document decisions concisely. - Stay current with emerging frameworks, open-source libraries, and research. - Are enthusiastic about mentoring and collaborative problem-solving. ### 🎁 Benefits - Fully remote and async-friendly - Health insurance coverage - Monthly wellness stipend - Paid time off plus national holidays - Learning resources and professional development support - One-time home office setup stipend - Flexible working hours ### 🛠️ How to apply… The job market is unpredictable right now, so we aim to keep our process simple and fair. Email `careers@memorang.com` with exactly the following: - **Subject line:** `[Job Title] @ Memorang` - **Body:** No more than 1-3 sentences. Include your specific interest in the role. - **Attachments/links:** Latest CV + GitHub - **Bonus:** Portfolio plus LinkedIn 🚫 **Anti-patterns** - Using AI to express your interest in the role. We already hire and train agents. In this case, we would like to hear from a human. - Missing CV and GitHub - Long email bodies instead of a quick note about your interest ### 🔀 Our process… 1. 📩 Apply directly (📍 You are here) 2. 📋 For those who follow the application instructions, we send a shortlist form 3. 💬 Interview with HR to explore an ideal mutual fit with a demo (60 mins) 4. 🧪 Take Home Exercise (60 mins) 5. 🧑‍💻 Technical screen & 🏗️ Architecture deep dive (60 mins) 6. 👔 Interview with CEO (15-30 mins) 7. 🤝 Offer