About the RoleYou'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- 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.
- Design robust prompts, tool definitions, structured outputs, and multi-step agent flows that handle edge cases in messy real-world data.
- Select and evaluate LLMs based on latency, cost, accuracy, and use-case fit across supply chain workflows.
- Ship LLM features from concept to production, owning the full pipeline from API integration to tested, 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.
- Practical experience with modern LLM APIs (OpenAI, Anthropic, DeepSeek, Gemini, or similar) and a track record of shipping real features with them.
- Experience building LLM-powered agents or automations that are core to production systems-not just internal demos.
- Strong system-design skills covering tool/function design, structured outputs, and multi-step agent flow architecture.
- Proficiency designing and maintaining evaluation pipelines for prompts, workflows, and LLM outputs.
- Experience with LLM observability, monitoring, and logging tools to track production accuracy, latency, and quality metrics.
- Demonstrated ability to evaluate and select LLMs based on latency, cost, capability, and use-case tradeoffs.
- Hands-on experience with the HuggingFace ecosystem in real production or prototype projects.
- Bonus: Experience running self-hosted LLMs in production.
- Bonus: Background in supply chain, logistics, or operations domain systems.
Compensation & BenefitsVisa sponsorship is available.
LocationOn-site in New York, NY, United States.
