LLM Engineer — Build Reliable AI for Real-World Workflows

Licorne Society; Paris; On-site; EUR 75,000 - 110,000; Full time

Job summary

Licorne Society is building a high‑reliability AI coworker for professional services in Paris. You will own and scale production AI systems, focusing on fast, reliable outputs across workflows like emails and document analysis.

The role emphasizes evaluating performance, reducing hallucinations, and iterating rapidly from live data. Collaboration with product and founders shapes what to build next.

Qualifications

• Shipping real LLM systems with measurable performance.
• Evaluation-driven development mindset.
• Ability to debug complex failures in production.
• Fast iteration cycles from production data.
• Strong technical judgment in system design.

Responsibilities

• Design and evolve LLM/agent architecture for production use.
• Own output quality across core use cases (emails, document analysis, workflows).
• Build evaluation systems (datasets, metrics, regression detection).
• Drive fast iteration loops from production data and feedback.
• Improve retrieval, reasoning, and tool usage; ensure reliability and latency targets.
• Collaborate with product and founders on what to build and why.

Skills

Shipping Real LLM Systems

Evaluation-Driven Development

Debugging Complex Failures

Speed of Iteration

Strong Technical Judgment

Tools

LangGraph

LangChain

PostHog

Langfuse

Azure OpenAI

GCP

PostgreSQL

FastAPI

Job description

Licorne Society is building a high‑reliability AI coworker for professional services in Paris. You will own and scale production AI systems, focusing on fast, reliable outputs across workflows like emails and document analysis.

The role emphasizes evaluating performance, reducing hallucinations, and iterating rapidly from live data. Collaboration with product and founders shapes what to build next.