Spherecast

Founding LLM Engineer (Visa Sponsorship)

San Francisco

Sponsorship not specifiedDetected 37 days ago

LLMsSupply ChainSystems Engineering

About the role

You'll work directly with the core team to turn the physical flow of goods into something as programmable as code.
If you're a builder who thrives at the intersection of LLMs, agents, systems engineering, and messy real-world data, this is your opportunity to shape how global brands run their supply chains.
Agnes decides what to produce, where to make it, and how to move it through factories, warehouses, and channels - simulating thousands of options in seconds and executing the best plan.

As a LLM Engineer at Spherecast, you will be responsible for building Agnes from the ground up - our AI Supply Chain Manager that decides what to produce, where to make it, and how to move it through factories, warehouses, and channels.
This is a fast-paced, highly autonomous role for someone who can own

You are a great fit if you have:
Hands-on experience with modern LLM APIs (e.g. Anthropic, OpenAI, DeepSeek, OpenRouter, Gemini, Moonshot) and have shipped features using them.
Practical experience with the HuggingFace ecosystem in real projects.
Experience with LLM observability and monitoring (logging, traces, quality metrics, feedback loops) to track and improve production accuracy over time.

Spherecast is building Agnes, the AI Supply Chain Manager for Consumer Goods.
We are building Agnes to shape the physical flow of goods in the world, turning it into something as programmable as code.
When we succeed, every consumer product you touch will run on the Spherecast stack - planned in the Spherecast OS, executed over Spherecast Rails, and optimized by the shared Spherecast Network.
Oracle turned atoms into bits.
Spherecast turns bits back to atoms, but globally optimized.
Be part of the next $T company.

This listing is sourced directly from Spherecast's careers page and normalized into a canonical job model.