Назад
Company hidden
3 часа назад

AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer (LLM/ML): Building production AI systems for patent claim analysis, infringement detection, and prior art search with an accent on multi-step LLM pipelines, retrieval, and rigorous evaluation. Focus on designing agentic workflows, optimizing inference quality, cost, and latency, and deploying monitored data and model pipelines on AWS and GCP.

Location: Hybrid in New York or Toronto; remote work may be available depending on location

Company

hirify.global builds an AI-native patent intelligence platform that uses large language models and generative AI to support intellectual property protection and monetization.

What you will do

  • Develop and deploy scalable AI and machine learning algorithms for patent intelligence applications.
  • Design and iterate on multi-step LLM pipelines for patent claim analysis, infringement detection, and prior art search.
  • Build evaluation frameworks with success metrics, curated datasets, and continuous regression testing.
  • Develop retrieval systems using vector search, BM25 hybrids, and reranking for complex patent corpora.
  • Architect agentic workflows with tool use, memory, and multi-turn reasoning.
  • Optimize production inference quality, cost, and latency while monitoring data pipelines and models.

Requirements

  • Experience shipping LLM-powered features as reliable production pipelines with monitoring and fallbacks.
  • Strong Python skills and backend experience with API design, data pipelines, asynchronous processing, and observability.
  • Strong technical background in ML and AI pipelines, ML methods, statistics, and the machine learning project lifecycle.
  • Experience deploying, monitoring, and maintaining data science products in cloud environments such as AWS and GCP.
  • Experience with data transformation and analytics tools such as Pandas, scikit-learn, SQL, or Spark.
  • Familiarity with database modeling, data warehousing principles, and SQL.

Nice to have

  • Interest in patent claims and willingness to develop expertise in intellectual property reasoning.
  • Experience with model selection, prompt architecture, fine-tuning, model routing, and structured output contracts.
  • Experience working with long technical documents or biological sequence identifiers.

Culture & Benefits

  • Hybrid work environment with a collaborative, cross-functional group of researchers, applied scientists, engineers, and product managers.
  • Medical, dental, and vision coverage, plus FSA, commuter benefits, and health advocacy.
  • Mental health and wellness support, including access to Spring Health and Headspace.
  • Unlimited PTO, 12 paid company holidays, and a full week off during the holiday break.
  • Paid parental leave, professional development budget, gym membership stipend, and learning opportunities.
  • Immediate 401(k) enrollment with no waiting period.

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