LLM Engineer

About the Role

You'll be building an AI Supply Chain Manager from the ground up at a Y Combinator–backed AI/supply chain startup, owning LLM systems end-to-end—from early prototypes to production. This is a high-autonomy role where your work directly powers real-world supply chain outcomes: purchase orders, transfer orders, and supplier bookings for CPG brands globally.
What You'll Do

-
Build and iterate on LLM-powered agents that decide what to produce, where to make it, and how to move it through factories, warehouses, and channels.

-
Design robust prompts, tool definitions, structured outputs, and multi-step agent flows that handle edge cases in messy real-world supply chain data.

-
Select and evaluate LLMs based on latency, cost, accuracy, and use-case fit across the supply chain workflow.

-
Ship LLM features from concept to production, owning the full pipeline from API integration to tested and evaluated systems.

-
Build and maintain evaluation frameworks to iterate quickly and safely on prompts and agent behaviors.

-
Set up observability, monitoring, and feedback loops to track production accuracy and continuously improve system performance.

What We're Looking For

-
3+ years of hands-on experience shipping LLM-powered features or systems in production environments (not just demos or prototypes).

-
Proficiency with modern LLM APIs such as OpenAI, Anthropic, DeepSeek, Gemini, or similar, with a strong intuition for model selection tradeoffs.

-
Experience building LLM-powered agents or automations that are core to production systems.

-
Strong system-design skills for tools/functions, structured outputs, and multi-step agent flow architecture.

-
Experience designing and maintaining evaluation pipelines for prompts, workflows, and LLM outputs.

-
Hands-on experience with LLM observability, monitoring, and logging tools to track latency, accuracy, and quality in production.

-
Practical experience with the HuggingFace ecosystem in real projects.

-
Bonus: experience running self-hosted LLMs in production or serious prototypes.

-
Bonus: background in supply chain, logistics, or operations domain systems.

Compensation & Benefits
Visa sponsorship is available.
Location
On-site in New York, NY, United States.

Originally posted on Himalayas