Senior AI Agents Engineer

🎯 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.

• 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.

💰 Compensation (California)

• Base salary range: $150,000–$250,000 USD

• Compensation is determined based on level, relevant experience, and scope of ownership.

• This role is open to candidates operating at Senior through Staff-level scope.

• Equity and benefits are offered in addition to base compensation.

We’re happy to discuss leveling and compensation expectations early in the interview process.