Lead LLM Engineer

Description du poste

Licorne Society a été missionné par une startup IA en pleine croissance pour les aider à trouver leur Lead LLM Engineer.

What You Will Own

You will be responsible for one thing

Make our AI outputs reliable, fast, and indispensable in real workflows.

Concretely

• Design and evolve our LLM / agent architecture
• Own output quality across key use cases (emails, document analysis, etc.)
• Build evaluation systems (datasets, metrics, regression detection)
• Drive fast iteration loops from production data
• Improve retrieval, reasoning, and tool usage
• Ensure production reliability (latency, failure modes, fallback)
• Work directly with product + founders on what to build and why

What This Role Is Really About

Most teams fail because

• they don’t know what “good output” means
• they don’t have evals
• they iterate randomly
• they overuse agents

Your job is to fix that.

You Will Turn

• vague user problems
• → into structured AI systems
• → with measurable performance
• → that improve every week

What You Need To Be Excellent At

• Shipping real LLM systems
• You’ve built systems used in production (not demos)
• You understand RAG, tools, agents, structured outputs
• You can design full pipelines, not just prompts
• Evaluation-driven development
• You know how to define quality metrics
• You build datasets from real usage
• You run continuous evals to prevent regressions
• Debugging complex failures
• You can trace issues across:

+ retrieval + prompts + model behavior

• You don’t guess — you isolate and fix
• Speed of iteration
• You move from problem → improvement in hours or days, not weeks
• You use logs, traces, and data — not intuition alone
• Strong judgment
• You know when to:

+ use an agent vs a pipeline + add complexity vs simplify

• You optimize for reliability and user value, not novelty

What We Don’t Care About

• Number of years of experience
• Whether you’ve used a specific framework
• Fancy rese

Annonce publiée sur LinkedIn et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.