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:

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.