GreenFoot Technologies is searching for a Founding Member of Technical Staff — Back-end / Systems Engineering for our New York City based Client.  Our Client is an open-source platform that creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.  $200K – $250K

1. Integrate their model gateway
2. Send metrics or feedback
3. Optimize prompts, models, and inference strategies
4. Watch your LLMs improve over time

It enables a data & learning flywheel for LLMs by unifying:

1. Inference: one API for all LLMs, with <1ms P99 overhead
2. Observability: inference & feedback → your database
3. Optimization: from prompts to fine-tuning and RL (& even 🍓?)
4. Experimentation: built-in A/B testing, routing, fallbacks

Role

Our client is looking for a Founding Member of Technical Staff with a background in systems engineering (esp. Rust).

Why not “engineer”? They are not going to make a distinction between engineers and researchers to encourage people to have cross-functional scope and impact. Their CTO has a PhD in reinforcement learning but also writes infrastructure code in Rust.

Their model gateway, written in Rust, is the backbone of the project. As a preview, if you joined today, you'd work on features ranging from inference-time optimizations (e.g. dynamic in-context learning) to advanced experimentation ("built-in Statsig").

They Are Looking For

• Strong technical background — You’ve tackled hard technical problems. You’re comfortable driving large projects from inception to deployment.

• Background in back-end / systems SWE — You’ll complement the team with a strong background and technical leadership (esp. Rust).

• Hungry for personal growth — There are no speed limits.  You’re excited about learning and contributing across the stack.

In-person in NYC — They work in-person five days a week in NYC. They work hard and obsess about the craft – but maintain and encourage a healthy lifestyle with a long-term mindset.

What They Offer

Competitive compensation — We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup.

• Open-source contributions — The vast majority of your work will be open-source and public.

• Learning and growth opportunities — You’ll join with a background in back-end / systems but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about ML?).

• Small, technical, in-person team — You’ll work alongside a 100% technical team and help shape our vision, culture, and engineering practices.

• Best-in-class investors — They are lucky to be backed by leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset.