Founding Member of Techincal Staff - Agents

Socket.dev; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Naive is building autonomous companies and a platform to deploy and operate large-scale agent workloads. You will help turn ambitious customer requirements into scalable, reliable infrastructure and agent runtimes.

You will work across core infrastructure and customer deployments, with opportunities for equity in a fast-growing Series A startup.

Qualifications

• Strong Python and distributed-systems engineering.
• Experience building production LLM agents.
• Understanding of orchestration, queues, retries, state and observability.
• Ability to debug complex systems across the full stack.
• Strong customer communication and high agency.

Responsibilities

• Build agent orchestration, execution and tool-use infrastructure.
• Improve reliability, latency, observability and cost at scale.
• Design systems for long-running, stateful and multi-agent workloads.
• Work directly with customers to deploy production agent systems.
• Turn customer requirements into reusable platform capabilities.
• Own projects from architecture through production.

Skills

Python

Distributed systems

Production LLM agents

Orchestration

Observability

Customer communication

Debugging complex systems

Job description

About Naive

Naive is building autonomous companies: agent systems capable of operating real businesses end to end.

We release autonomous company templates and benchmarks, alongside a studio-where users can deploy and operate these systems.

Our infrastructure platform, Vetta, powers long-running, high-volume agent workloads.

We've raised a $28.5M Series A from Nexus Venture Partners, Y Combinator, Zetta Venture Partners, Liquid 2 and leading operators.

The Role

Build Vetta into the best platform for deploying and operating large-scale agent workloads. You'll work across core infrastructure and customer deployments. Accordingly, you also have the chance to earn significant equity at a fast growing Series A startup.

What You'll Do

• Build agent orchestration, execution and tool-use infrastructure
• Improve reliability, latency, observability and cost at scale
• Design systems for long-running, stateful and multi-agent workloads
• Work directly with customers to deploy production agent systems
• Turn customer requirements into reusable platform capabilities
• Own projects from architecture through production

Must-Haves

• Strong Python and distributed-systems engineering
• Experience building production LLM agents
• Understanding of orchestration, queues, retries, state and observability
• Ability to debug complex systems across the full stack
• Strong customer communication and high agency

Nice-to-Haves

• Experience with Pi, Hermes, and building your own agent harness
• Built developer infrastructure, agent runtimes or workflow systems
• Founder, founding engineer or forward-deployed engineering experience