AI Agents Engineer

Compensation: $150k – $230k • 0.0% – 0.5%

🎯 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 [email protected] 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