LLM Engineer

About this role

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.

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