An early-stage open-source platform is building the feedback loop that powers smarter, faster, and more efficient large language model (LLM) applications — turning real-world data into continuous improvements.

What We're Building

• A unified model gateway for inference
• Seamless collection of metrics and feedback
• Optimization tools for prompts, models, and inference strategies
• Native experimentation and fallback support
• A data-and-learning flywheel for LLMs
  
  

The Platform Brings Together

• Inference: One API to manage all LLMs with minimal latency overhead
• Observability: Inference data and user feedback fed directly into your systems
• Optimization: From prompt engineering to fine-tuning and reinforcement learning
• Experimentation: Built-in A/B testing, smart routing, and fallback capabilities
  
  

The Role

We’re hiring a Founding Member of Technical Staff with expertise in front-end or design engineering.

Why not just “engineer”? We encourage cross-functional ownership — combining product thinking, research instincts, and technical craftsmanship. While we need help building user-facing tools now, the opportunity exists to contribute across the entire stack over time.

Your first major project would likely be developing an open-source UI — something like the “console” that ties everything together, making it easy for users to visualize and control model behavior, experimentation, and optimizations. We already collect plenty of observability data, but it’s waiting for the right person to design and build intuitive, delightful interfaces for it.

What We Offer

• Highly competitive compensation (salary, equity, and benefits)
• The chance for your work to be open-source and highly visible
• Freedom to expand your skills into new areas — whether infrastructure, machine learning, or beyond
• A small, focused, in-person environment where technical quality and craftsmanship matter
• Backing from world-class investors with a track record in AI, infrastructure, and developer tools
  
  

What We're Looking For

• A strong technical foundation with the ability to lead and ship large projects (starting with the observability dashboard)
• Passion for building interfaces that not only work but truly delight developers
• Front-end engineering experience — we're currently experimenting with Remix and Tailwind but need dedicated expertise (especially in React)
• Eagerness to learn and contribute across domains
• Willingness to work in person, five days a week, in New York City