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4 дня назад

Senior AI Engineer

Формат работы
remote (только USA)
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
Senior AI Engineer (LLMs/Agentic Systems): Building intelligent systems that combine LLM reasoning, structured data, and tool orchestration for finance-focused data products with an accent on machine learning, RAG, and AI-driven product innovation. Focus on designing agentic workflows, evaluating LLM quality and cost-performance, and taking AI platform capabilities from experimentation to production.

Location: United States — remote, any location within the United States

Company

Apptopia is a high-growth startup providing competitive intelligence from mobile app data to investment firms, financial institutions, technology companies, and hedge funds.

What you will do

  • Incorporate LLM-powered systems into new data products and advance existing products and the long-term AI strategy.
  • Design and implement agentic workflows combining LLM reasoning, structured data, and external tools.
  • Experiment with multi-step reasoning, RAG, tool orchestration, and emerging AI approaches to improve analyst workflows.
  • Develop machine learning algorithms for app usage forecasting, consumer behavior prediction, stock price movement estimation, and user segmentation.
  • Extend core modeling into AI-native systems, augment datasets with LLM-derived features and insights, and improve model accuracy through ensemble methodologies.
  • Help build internal AI platforms, define evaluation frameworks and best practices, and take AI initiatives from experimentation to production with product and engineering.

Requirements

  • 5+ years of experience in data science, machine learning, data engineering, or applied AI.
  • Experience building production machine learning systems end-to-end.
  • Hands-on experience with LLMs, including OpenAI, Anthropic, or Bedrock.
  • Experience with RAG, tool use, or agentic systems.
  • Strong Python skills and experience with APIs and cloud platforms; AWS is preferred.
  • Comfort working with ambiguity and fast experimentation cycles.

Nice to have

  • Databricks tooling experience.
  • Familiarity with clickstream, app usage, or observational panel data.

Culture & Benefits

  • Full-time role on the Product team.
  • Work in a high-growth, data-driven startup backed by Mark Cuban and ABS Capital.
  • Collaborate with product and engineering teams to move ideas from 0 to production.

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