Senior Staff AI Search Engineer – Agentic Contract Knowledge

Ironclad

San Francisco (CA)

Vor Ort

USD 188.000 - 270.000

Vollzeit

vor 34 Stunden
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

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Benefits dieser Stelle

Health coverage
Parental leave
Wellbeing stipends
PTO

Zusammenfassung

Ironclad, a leader in contract lifecycle AI, is hiring Staff/Senior Staff Engineers for its Intelligence Platform team in San Francisco. You will own the agentic search architecture that combines LLMs and retrieval, drive eval-driven development, and raise the company's search quality standards while leading cross-functional collaboration with product and ML teams.

You will also own content understanding and ingestion, turning raw documents into structured data for retrieval, and define

Qualifikationen

  • 10+ years building production systems at scale.
  • Depth in retrieval or LLM agent systems.
  • Experience with search frameworks and relevance tuning.
  • Fluency with modern LLM APIs and multi-provider orchestration.
  • Experience building eval-driven workflows.

Aufgaben

  • Own agentic search architecture integrating LLMs and retrieval.
  • Design and run benchmarks to measure search quality.
  • Raise the company's search quality standards.
  • Own content understanding and ingestion pipelines using NLP/LLM models.
  • Set architectural direction across the AI org.

Kenntnisse

Production systems
Information retrieval
LLM knowledge
Autonomy
Leadership
Mentoring
Search frameworks

Tools

Elasticsearch
Solr/OpenSearch
OpenAI/Anthropic

Jobbeschreibung

Ironclad, a leader in contract lifecycle AI, is hiring Staff/Senior Staff Engineers for its Intelligence Platform team in San Francisco. You will own the agentic search architecture that combines LLMs and retrieval, drive eval-driven development, and raise the company's search quality standards while leading cross-functional collaboration with product and ML teams.

You will also own content understanding and ingestion, turning raw documents into structured data for retrieval, and define

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