Founding Member of Techincal Staff - Agents

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

Job summary

Naïve is building autonomous companies and a platform called Vetta to deploy and operate large-scale agent workloads. You will help turn the Vetta platform into the best solution for customers and have the opportunity to gain significant equity in a fast-growing Series A startup.

You will work across core infrastructure and customer deployments, engaging directly with customers to deploy production agent systems and translate requirements into reusable platform capabilities.

Qualifications

• Proficient in 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

Debugging complex systems

Customer communication

Agent harness / developer tools

Developer infrastructure

Founders / forward-deployed experience

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