Software Engineer, AI Productivity

Job summary

Responsibilities

As a Software Engineer focused on AI productivity, you will build and roll out the tools that help us use AI effectively across the company. You will work closely with engineering, research, operations, people, and other teams to understand how people work, identify where AI can create leverage…

• Own AI tooling adoption across π: Identify where AI tools can improve velocity, build or integrate the right solutions, teach teams how to use them, and drive adoption.
• Build internal AI tooling and integrations: Build backend services, scripts, workflows, user interfaces, LLM integrations, and agent infrastructure.
• Make AI agents ergonomic: Own workflows for cloud agents, agent management, and internal automation that are easy to use, easy to monitor, and easy to trust.
• Build tools for engineering, research, and operational velocity: Help engineers use AI to write, test, debug, review, and validate code faster.
• Own best practices and enablement: Create playbooks, examples, onboarding, office hours, demos, and shared workflows that help people learn from the best AI users at π.

What they're looking for

• Strong software engineering fundamentals and the ability to ship quickly.
• Deep excitement about AI tools and strong opinions about how they should be used.
• Hands-on fluency with AI coding workflows and modern LLM-based tools.
• Technical flexibility: ability to build backend services, internal tools, integrations, automation, and user interfaces.
• Strong product judgment and taste for developer experience and internal tooling.

Tech stack

• React
• TypeScript
• Python
• PostgreSQL
• GCP
• Kubernetes