Rocketable · 1 month ago
Founding Engineer - Automation Platform
Rocketable is creating fully autonomous software companies that operate at superhuman levels. The Founding Engineer will be responsible for architecting a multi-agent AI platform to run a portfolio of SaaS businesses autonomously, while also building essential infrastructure and systems to enhance performance and scalability.
Artificial Intelligence (AI)SoftwareSoftware Engineering
Responsibilities
You'll be architecting the nervous system of an entirely new kind of organism—a multi-agent AI platform that can run an entire portfolio of SaaS businesses without human intervention
While solving for specific needs of a production SaaS, you’ll build some version of the following: orchestrator-worker patterns, cross-stack abstractions, meta-agents learn from overrides, replay thousands of scenarios, agents create own tools, time-travel debugging, human approval gates, hybrid data fusion
You've built and scaled production systems handling 100K+ daily active users
Deep experience with distributed systems: microservices, event-driven architectures, message queues
Full-stack development: you can debug everything from React components to database queries and underlying infrastructure
Fluent in multiple programming languages (TypeScript and Python preferred)
Track record designing APIs that other developers actually want to use
Experience integrating LLMs via foundation model APIs (OpenAI, Anthropic, Google)
You understand prompt engineering as an engineering discipline, not just trial and error
You've built eval systems to measure AI performance
Experience with token optimization, context window management, and fallback strategies
Kubernetes expertise for container orchestration
Docker mastery: you understand security, resource limits, and ephemeral environments
Infrastructure as Code: Terraform or similar—your infrastructure is version-controlled and reproducible
Cloud platform expertise (GCP preferred, AWS/Azure also OK)
You've built CI/CD pipelines that actually accelerate development instead of slowing it down
Production monitoring and observability, including debugging distributed systems
Qualification
Required
6+ years of experience
You've built and scaled production systems handling 100K+ daily active users
Deep experience with distributed systems: microservices, event-driven architectures, message queues
Full-stack development: you can debug everything from React components to database queries and underlying infrastructure
Track record designing APIs that other developers actually want to use
Experience integrating LLMs via foundation model APIs (OpenAI, Anthropic, Google)
You understand prompt engineering as an engineering discipline, not just trial and error
You've built eval systems to measure AI performance
Experience with token optimization, context window management, and fallback strategies
Kubernetes expertise for container orchestration
Docker mastery: you understand security, resource limits, and ephemeral environments
Infrastructure as Code: Terraform or similar—your infrastructure is version-controlled and reproducible
You've built CI/CD pipelines that actually accelerate development instead of slowing it down
Production monitoring and observability, including debugging distributed systems
Security fundamentals: sandboxing untrusted code, secrets management, preventing prompt injection
Preferred
Fluent in multiple programming languages (TypeScript and Python preferred)
Cloud platform expertise (GCP preferred, AWS/Azure also OK)
Bonus: You've worked on self-improving systems, reinforcement learning, or RLHF/RLAIF
Company
Rocketable
Rocketable is a software holding company that acquires existing software products and operates them using AI agents.
Funding
Current Stage
Early StageTotal Funding
$6.5M2025-07-01Seed· $6.5M
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