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LLM Engineer

Role overview

Qualifications

  • 3+ years of hands-on experience shipping LLM-powered features or systems in production environments
  • Proficiency with modern LLM APIs such as OpenAI, Anthropic, DeepSeek, Gemini, or similar
  • 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

Responsibilities

  • Build and iterate on LLM-powered agents for supply chain decisions
  • Design robust prompts, tool definitions, structured outputs, and agent flows
  • Select and evaluate LLMs based on latency, cost, accuracy, and use-case fit
  • Ship LLM features from concept to production, owning the full pipeline

Key facts

Other skills

  • Operations

About the company

Clera Inc. logo

Clera Inc.

Staffing & Recruiting

Company details

IndustryStaffing & Recruiting

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Job description

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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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