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Staff or Senior Staff Engineer, Agentic Search (AI)

188 000 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Staff or Senior Staff Engineer, Agentic Search (AI): Building agentic search architecture that combines LLMs, retrieval systems, and content-understanding pipelines to answer complex questions about enterprise contracts with an accent on relevance, evaluation, and production-scale information retrieval. Focus on designing learned and hybrid retrieval, orchestrating multi-provider LLM systems, building benchmark-driven quality workflows, and setting technical direction across the AI organization.

Location: Hybrid in San Francisco, California, United States

Salary: $188,000–$270,000 annual base salary, depending on level and candidate location. Equity and bonus opportunities are also offered.

Company

hirify.global builds AI-powered contract lifecycle management products using a large dataset of enterprise contracts.

What you will do

  • Own the architecture of agentic search systems that combine LLMs and retrieval to answer complex and ambiguous contract questions.
  • Design benchmarks, experiments, and evaluation workflows to measure and improve search quality.
  • Build content-understanding and ingestion pipelines that transform raw documents into data usable by retrieval systems.
  • Set architectural and technical direction for AI systems used across the organization.
  • Partner with product, applied science, and engineering leaders to deliver measurable search improvements.

Requirements

  • 10+ years of experience building production systems, including substantial work in search, information retrieval, content understanding, or recommendation systems at scale.
  • Deep experience with learned or hybrid retrieval, query understanding and NLU pipelines, or production LLM agent systems.
  • Production experience with Elasticsearch or comparable search frameworks, including relevance tuning, embedding search, and reranking.
  • Fluency with modern LLM APIs and multi-provider orchestration, including token budgets, tool-calling semantics, and prompt caching.
  • Experience with evaluation-driven development, offline benchmarks, regression detection, and structured A/B comparisons.
  • Strong technical leadership, autonomy, cross-team ownership, mentoring, and architectural decision-making skills.

Nice to have

  • Hands-on experience with post-training algorithms and infrastructure, including supervised fine-tuning and reinforcement learning.
  • Experience with content understanding or information retrieval for structured-document-heavy domains.
  • Experience building RAG systems for Google Docs, PDFs, DOCX, and other document formats.

Culture & Benefits

  • Hybrid work with monthly wellbeing and hybrid-work stipends.
  • Health, dental, and vision coverage for US employees and dependents, with additional plan options.
  • Paid time off, gender-neutral parental leave, compassionate leave, and family-forming support.
  • Mental health support, commuter benefits, and a 401(k) plan with employer matching.
  • Equity awards, career growth support, and regular team events.

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