Member of Technical Staff [Platform]

The Opportunity

As a Member of Technical Staff [Platform] at the company, you’ll design and build the internal systems that power everything we do — from research experiments to product deployments. You’ll create the tooling, infrastructure, and developer experience that enable our team to iterate rapidly, deploy confidently, and scale intelligently.

This role sits at the intersection of infrastructure engineering, developer tooling, and MLOps. You’ll collaborate closely with research scientists and software engineers to ensure that our data, model, and product workflows are robust, reproducible, and efficient.

Responsibilities

Design, build, and maintain the core infrastructure supporting our research and product environments (cloud compute, storage, CI/CD pipelines, observability, security).

Develop and manage internal developer tools, automation systems, and shared libraries that accelerate productivity across teams.

Build reliable systems for data management, model experimentation, evaluation, and deployment in both research and production contexts.

Define and evolve our build, test, and release workflows, ensuring seamless integration from prototype to production.

Implement and monitor observability and performance metrics across services and pipelines.

Collaborate closely with research and product teams to diagnose bottlenecks, optimize workflows, and ensure reproducibility of results.

Contribute to infrastructure strategy and architecture, helping shape how we scale as the company grows.

There are three buckets of work. The first is the agent harness itself – building, implementing, and experimenting on the agent system and its memory. That is where the product people sit. It naturally bridges into the second bucket, which is the backend serving layer: hosting the agent, availability, tracking, security, networking, scaling. That is the platform side. The third bucket is the ML and language model research arm – training, data collection, evaluations – which is the research role.

About the Company

The company is the AI agent lab for specialized intelligence. The company's mission is to expand access to expertise by developing AI agents that continuously learn to reach expert-level intelligence. The future will not be one super agent. It will be an abundance of specialized agents.

This puts frontier-grade capabilities in more hands and raises the baseline for what any person or organization can do. Research by the company's founding team has helped shape the modern agent ecosystem and is used in frontier models from OpenAI, Anthropic, Google, and others.

Founded in 2025, team size around 10 employees, $40M in total funding raised.

Tech Stack

Cloud environments (AWS, GCP, or similar), Containerization/orchestration (Docker, Kubernetes), CI/CD systems (GitHub Actions, Terraform, etc.)

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Application Questions

1. What recent advance in AI do you personally find most exciting, and how it have changed your work or how do you think it will change future work? This could be both research works or products.
2. AI tools are part of modern work. Tell us which ones you use, what they genuinely help with, where they break down or mislead, and any habits, prompts, or workflows you’ve developed to get better results. We’re especially interested in your judgment: describe a time you corrected, constrained, or chose not to follow an AI tool.