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
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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 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 supply chain data.
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Select and evaluate LLMs based on latency, cost, accuracy, and use-case fit across the supply chain workflow.
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Ship LLM features from concept to production, owning the full pipeline from API integration to tested and 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 (not just demos or prototypes).
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Proficiency with modern LLM APIs such as OpenAI, Anthropic, DeepSeek, Gemini, or similar, with a strong intuition for model selection tradeoffs.
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Experience building LLM-powered agents or automations that are core to production systems.
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Strong system-design skills for tools/functions, structured outputs, and multi-step agent flow architecture.
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Experience designing and maintaining evaluation pipelines for prompts, workflows, and LLM outputs.
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Hands-on experience with LLM observability, monitoring, and logging tools to track latency, accuracy, and quality in production.
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Practical experience with the HuggingFace ecosystem in real projects.
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Bonus: experience running self-hosted LLMs in production or serious prototypes.
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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.
Originally posted on Himalayas