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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль сочетает внедрение LLM-систем, агентные сценарии и классическое ML-моделирование в data-ориентированном стартапе, давая широкий продуктовый вклад, хотя охват направлений довольно большой.
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Широкий охватАктуальный стекВлияние на продуктСтартап с ростом
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Текст:
Hirify AI/Оригинал
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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