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LLM Engineer

Role overview

Qualifications

  • 3+ years of hands-on experience shipping LLM-powered features or systems in production environments
  • Practical experience with modern LLM APIs
  • Strong system-design skills
  • Experience with LLM observability, monitoring, and logging tools

Responsibilities

  • Build and iterate on LLM-powered agents
  • Design robust prompts, tool definitions, and structured outputs
  • Select and evaluate LLMs based on latency, cost, accuracy, and use-case fit
  • Ship LLM features from concept to production

About the company

Clera Inc. logo

Clera Inc.

Staffing & Recruiting

Clera is an AI talent agent that represents job candidates and connects them directly with hiring managers at venture-backed startups. The platform uses artificial intelligence to match professionals with suitable career opportunities and facilitates introductions via email, iMessage, and WhatsApp, bypassing traditional job application processes.

Company details

IndustryStaffing & Recruiting
Company size11-50

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Job description

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

  • 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 & 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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