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

Were 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 its 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

SO