Senior Software Engineer

Key Responsibilities

• Ship multiple substantial features per week.
• Operate as the technical lead and steward of your agentic coding pipeline.
• Write detailed prompts and specifications, and embrace Spec-Driven Development.
• Compose orchestrator agents and dispatch agent teams.
• Engine RALPH Loops with well-formed completion promises.
• Actively multitask between several agents to simultaneously develop multiple substantial features in parallel.
• Build the AI workflow engine that powers our products.
• Develop state-of-the-art graph-based agentic orchestration workflows with nodes and conditional edges, structured outputs, interrupts and human-in-the-loop circuit breakers.
• Implement durable execution, long-running work that survives process restarts, rate limits, and outages, with an evaluation harness, versioned prompt chains, annotated datasets and cross-provider benchmarks on cost, latency, and quality.
• Arcitect resilient, high-scale backend systems.
• Design and scale distributed infrastructure across Python and TypeScript to support heavy edtech workloads.
• Own the systems design, API boundaries, and database performance, ensuring that our foundational architecture remains highly available, secure, and ready to scale.
• Extend the context layer.
• Contribute to our AGENTS.md and Agent Skills so that every session produces better work than the last.

Partner on Architecture

• Collaborate closely with the Head of Engineering, Chief Innovation Officer, and other product leaders on technical direction, feature roadmap, and the hard technical design decisions and trade-offs underneath.
• Raise the bar for the team.
• Review the work of teammates and contractors.
• Collaborate with teammates on architecture and implementation reviews.
• Write PR comments, design docs, and agent skills that make the next person faster.

Qualifications

• You are AI-native.
• You are an expert in continuous multi-session development with Claude Code and/or OpenAI Codex.
• You are an expert at prompt engineering and context engineering.
• You write Agent Skills the way other engineers write unit tests.
• You practice Spec-Driven Development (GitHub Spec Kit or equivalent) as part of your normal workflow.
• You know what a RALPH Loop is and how to deploy one.
• You ship, a lot. You deliver multiple large features per week.
• You have built real backend AI orchestration layers that run when you're not watching.
• You think in graphs — shared state flowing through nodes, conditional edges, interrupts, and circuit breakers.
• You have shipped non-trivial agentic pipelines using LangGraph, Python, and TypeScript, or equivalent.
• You treat durable execution, structured outputs, human-in-the-loop checkpoints, and provider-agnostic model routing as baseline design constraints.
• You have built evaluation harnesses, annotated datasets, and versioned prompt chains as first-class artifacts.
• You are self-directed.
• You thrive in small, high-autonomy teams and startups where the surface area is broad and the context shifts constantly.
• You write clearly.
• You own a problem end-to-end without waiting for a ticket to tell you what to do next.
• You love to learn.
• You're actively leveraging the latest developments in AI and applying them to enhance both your own and others' work.
• You're also motivated by MCP's mission and vision, and eager to build teacher- and student-facing products.
• You want to shape the world.
• You're motivated to be part of something larger than yourself.
• You believe that the highest value of your talent is using it to empower others.
• You're ready to make a real difference in educators' and young people's lives.