Member of Technical Staff

Circle Labs; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive pay and equity

Health, dental, and vision coverage

Access to frontier AI Engines

Job summary

Circle Labs in San Francisco is seeking an engineer to build the systems and product experiences behind shapes.inc, a collaboration platform that brings people and shapes together.

You’ll own engineering problems across the stack on a small local team, shipping Next.js and React interfaces, memory and context retrieval, and real-time communication features to keep groups aligned.

Join us to help shapes coordinate goals and track progress, while improving latency and UX across conversations.

Qualifications

• Experience taking a product from idea to real users, with examples of what you built and improved after launch.
• Ability to ship reliable code quickly.
• Ability to debug an ambiguous problem, ship a complete solution, and verify that it works for the people using it.
• Willingness to contribute beyond your immediate area.
• Daily use of shapes.inc and interest in its users.

Responsibilities

• Build and evaluate agent swarms: specialist shapes that divide work, coordinate around shared goals, and bring results back to the people working together.
• Build memory and context retrieval that help people and shapes maintain shared goals, track decisions, and pick up unfinished work within the appropriate access boundaries.
• Reduce response latency in group chats with multiple people and shapes.
• Build real-time voice and video infrastructure for calls between people and shapes.
• Ship Next.js and React interfaces for shared browsing, artifacts, and conversations, making it clear what people and shapes are doing and how others can contribute.
• Fine-tune and evaluate AI systems for consistent shape personalities and behavior, and improve routing between AI Engines.

Job description

About Circle Labs

Circle Labs is the company behind shapes.inc, a place to collaborate. We’re building multiplayer AI: shapes are collaborative assistants that take part in group conversations and do things with you and your people. Our next work includes helping groups set shared goals, delegate to specialist shapes and external agents, and follow progress through to completion. Making things, figuring things out, and sharing plans give people more reasons to spend time together.

We’re a small team in San Francisco. We use the product every day, talk to users, and work across design, engineering, and research.

About the role

Build the systems and product experiences behind shapes.inc, a place to collaborate with your people and shapes. You’ll own engineering problems across the stack on a small San Francisco team.

What you’ll do

• Build and evaluate agent swarms: specialist shapes that divide work, coordinate around shared goals, and bring results back to the people working together.
• Build memory and context retrieval that help people and shapes maintain shared goals, track decisions, and pick up unfinished work within the appropriate access boundaries.
• Reduce response latency in group chats with multiple people and shapes.
• Build real-time voice and video infrastructure for calls between people and shapes.
• Ship Next.js and React interfaces for shared browsing, artifacts, and conversations, making it clear what people and shapes are doing and how others can contribute.
• Fine-tune and evaluate AI systems for consistent shape personalities and behavior, and improve routing between AI Engines.

What you’ll bring

• Experience taking a product or substantial feature from an early idea to real users, with examples of what you built and improved after launch.
• Ability to ship reliable code quickly.
• Ability to debug an ambiguous problem, ship a complete solution, and verify that it works for the people using it.
• Willingness to contribute beyond your immediate area.
• Daily use of shapes.inc and interest in its users.

Nice to have

• LLM training, fine-tuning, evaluation, inference, or retrieval-augmented generation at scale.
• High-performance Python services or real-time infrastructure using WebRTC, WebSockets, or streaming.
• Consumer product work serving millions of daily users, or a consumer app you shipped independently.

Benefits

• Competitive pay and equity
• Health, dental, and vision coverage
• Access to frontier AI Engines