Member of Technical Staff (SWE)

Member of Technical Staff (Software Engineering)

Location: SF Bay Area or Tokyo, Japan
Type: Full-time

About Us

Radical Numerics is building the Automated AI Research Factory—a new kind of research lab where AI develops AI alongside human experts. Our first system, RISA-1 (Recursive Intelligence System Architecture), creates environments where agents and humans collaborate to accelerate every part of AI development: from infrastructure and numerics to models and scientific applications.

The goal: unlock recursive self-improvement (RSI) in a collaborative, engineered way—so new architectures, kernels, and models can be designed, tested, and deployed faster than ever.

What You’ll Work On

We’re expanding beyond research systems to build a multi-agent automation platform—a distributed backend that orchestrates agents, tools, and models across the cloud.

As a Member of Technical Staff focused on Software Engineering, you’ll design and build the core platform that powers multi-agent automation at scale. You might:

What You’ll Work On

We’re expanding beyond research systems to build a multi-agent automation platform — a distributed backend that orchestrates agents, tools, and models across the cloud.

As an MTS focused on Software Engineering, you’ll help design, build, and iterate on the systems that power this platform. Depending on your interests, you might work on:

Core Platform & Distributed Systems

• Design and implement backend services in Python, Go, TypeScript, or Rust.
  
  
• Build distributed, event-driven systems for agent coordination (queues, message brokers, async workloads).
  
  
• Develop scalable execution environments using FastAPI, Ray, Celery, or similar frameworks.
  
  

Agent Tooling & Orchestration

• Build APIs and SDKs for tool calling, plugin systems, and model integrations.
  
  
• Integrate or extend workflow engines (Temporal, LangGraph, CrewAI) for composable agent protocols.
  
  
• Design state and memory systems that persist agent context across sessions.
  
  

Product Engineering & Quick Iteration

• Prototype and ship rapidly: go from idea → design → deployment
  
  
• Collaborate on system design and end-to-end features that bridge backend, frontend, and infra.
  
  
• (Optional) Contribute to frontend interfaces for agent dashboards and visualizations using React/TypeScript.
  
  

Infrastructure & Observability

• Manage Postgres, Redis, and vector databases for data/state persistence.
  
  
• Build monitoring and debug dashboards to visualize agent performance.
  
  
• Optimize for throughput, fault tolerance, and scalability.

 

What We’re Looking For

You’re an engineer who thrives on building systems that think, coordinate, and evolve — and who values speed of iteration as much as correctness.

You might have experience with some of the following (not all required):

• Backend or systems engineering in Python, Go, TypeScript, or Rust
  
  
• Distributed and asynchronous systems (FastAPI, Celery, Ray, asyncio)
  
  
• API and microservice design, cloud integrations (AWS/GCP/Azure)
  
  
• Workflow orchestration (Temporal, LangGraph, CrewAI)
  
  
• Data/state management (Postgres, Redis, vector DBs)
  
  
• System design and architecture for scalable applications
  
  
• Interest in frontend or full-stack development for internal tools
  
  
• Familiarity with LLMs and tool calling APIs a plus
  
  

Why Join

• Shape the foundations of a next-generation multi-agent platform.
  
  
• Work with a small team of researchers and engineers who’ve built frontier models and systems.
  
  
• Build tools that empower AI agents to orchestrate complex workflows autonomously.
  
  
• Join at the ground floor of a company rethinking how AI itself gets built.
  
  

How to Apply

If this resonates, reach out at hiring@radicalnumerics.ai (subject: MTS SWE). Tell us what excites you, what you’ve built, or what you’d love to explore with us.