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57 минут назад

Member of Technical Staff – AI/ML (Fintech)

220 000 - 350 000$
Формат работы
onsite
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
Member of Technical Staff – AI/ML (Fintech): Building and deploying production-grade AI applications and agentic systems for invoice matching, payment reconciliation, and financial document processing with an accent on LLMs, RAG, and reliable AI pipelines. Focus on designing tool-using agents, implementing evaluation and observability systems, and optimizing model routing for scalable financial workflows.

Location: On-site in San Francisco or New York City, United States

Salary: $220,000–$350,000 estimated annual salary, plus equity

Company

hirify.global provides an accounts receivable platform that makes collections smarter and faster for B2B companies in industrial, chemical, and manufacturing sectors.

What you will do

  • Design, build, and deploy production-ready AI applications and agentic systems for financial operations.
  • Build tool-using LLM agents that surface insights, recommend next steps, and execute approved tasks.
  • Improve invoice matching, payment reconciliation, and financial document processing capabilities.
  • Apply, optimize, and fine-tune LLMs and RAG systems for document- and data-intensive financial workflows.
  • Build reliable AI pipelines from ingestion through inference, including cost-efficient model routing.
  • Implement golden datasets, tracing, regression testing, A/B testing, and continuous monitoring in partnership with Product, Engineering, Data, and customers.

Requirements

  • 5+ years of AI/ML experience and experience shipping AI/ML products that solve real business problems.
  • Production experience with agentic systems, including tool use, planning, state management, recovery, and human-in-the-loop workflows.
  • Experience integrating and fine-tuning LLMs, building RAG systems, and training and deploying classical ML models.
  • Strong knowledge of AI/ML evaluation, including golden datasets, offline and online evaluation, statistical significance, and CI-based evaluations.
  • Experience with LLM observability and MLOps fundamentals, including deployment, monitoring, A/B testing, and model and prompt versioning.
  • Fluency in Python and modern AI/ML tools such as PyTorch, Transformers, scikit-learn, XGBoost, vLLM, LangChain, or LlamaIndex.

Nice to have

  • Experience with model routing across providers.
  • Fintech, B2B SaaS, or accounts receivable/accounts payable domain experience.
  • Active involvement in the AI/ML community.

Culture & Benefits

  • Hands-on work at the intersection of AI innovation and practical financial operations.
  • Medical, dental, and vision insurance for U.S.-based full-time employees.
  • 401(k) with company match.
  • Equity, flexible PTO, and parental leave.

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