About the Role
You'll be a founding LLM engineer at an early-stage, Y Combinator–backed AI supply chain startup, building an AI Supply Chain Manager from the ground up. This is a high-autonomy role where you'll own LLM systems end-to-end—from prototype to production—turning the physical flow of goods into something as programmable as code.
What You'll Do
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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 distribution channels.
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Design robust prompts, tool definitions, structured outputs, and multi-step agent flows that handle edge cases in messy real-world data.
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Select and evaluate LLMs based on latency, cost, accuracy, and use-case fit across supply chain workflows.
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Ship LLM features from concept to production, owning the full pipeline from API integration to tested, evaluated systems.
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Build and maintain evaluation frameworks to iterate quickly and safely on prompts and agent behaviors.
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Set up observability, monitoring, and feedback loops to track production accuracy and continuously improve system performance.
What We're Looking For
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3+ years of hands-on experience shipping LLM-powered features or systems in production environments.
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Practical experience with modern LLM APIs (OpenAI, Anthropic, DeepSeek, Gemini, or similar) and a track record of shipping real features with them.
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Experience building LLM-powered agents or automations that are core to production systems—not just internal demos.
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Strong system-design skills covering tool/function design, structured outputs, and multi-step agent flow architecture.
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Proficiency designing and maintaining evaluation pipelines for prompts, workflows, and LLM outputs.
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Experience with LLM observability, monitoring, and logging tools to track production accuracy, latency, and quality metrics.
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Demonstrated ability to evaluate and select LLMs based on latency, cost, capability, and use-case tradeoffs.
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Hands-on experience with the HuggingFace ecosystem in real production or prototype projects.
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Bonus: Experience running self-hosted LLMs in production.
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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.