Member of the Technical Staff

The Role

We are looking for a Member of the Technical Staff to join our engineering team and help build the infrastructure that powers the next generation of autonomous AI agents. You will work at the intersection of AI, cloud infrastructure, and browser automation - designing and developing systems that enable AI agents to reliably and securely interact with real-world software.

This is a foundational engineering role. You will have significant ownership over core systems and direct impact on the product and architecture.

What You Will Do

Design and develop cutting-edge AI infrastructure, including agentic workflows, evaluation frameworks, and security and cloud infrastructure

Design and develop autonomous browsing agents that interact with enterprise applications through their UI, just like a human operator would

Collaborate across engineering and research teams to integrate external tools, improve model reliability, and ensure secure, aligned behavior in dynamic online environments

Build and maintain the Skill Engine that ingests institutional knowledge (SharePoint, Confluence, internal runbooks) and maps real workflows into reusable, hardened agent skills

Develop supervised parallel execution systems that allow dozens of agents to run simultaneously with human-in-the-loop oversight for exceptions and sensitive actions

Work on model-agnostic orchestration layers with queues, retries, concurrency, and scheduling to support high-volume, repetitive enterprise tasks

Contribute to our open-source projects and help shape the developer experience for computer-use agent infrastructure

What We Are Looking For

Strong software engineering fundamentals with production experience building complex, distributed systems

Proficiency in at least one of: Python, TypeScript/Node.js, or Go

Experience with cloud infrastructure (AWS preferred) including containers, networking, and security

Familiarity with AI/ML systems, LLM integrations, or agent frameworks

Comfort working with browser automation, headless browsers, or web scraping at scale

Strong debugging and problem-solving skills across the full stack — from low-level network issues to high-level agent behavior

Ability to thrive in a fast-paced, early-stage startup environment with high ownership and minimal hand-holding

Excellent communication skills and a collaborative mindset

Bonus Points

Experience building enterprise-grade software for regulated industries (financial services, healthcare, government)

Familiarity with compliance and security frameworks such as SOC 2, SOX, GDPR, or PCI-DSS

Contributions to open-source projects

Experience with Windows-native development, thick-client automation, or legacy system integration

Background in reinforcement learning, evaluation frameworks for AI agents, or model routing