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AI Lead Software Engineer

Тип работы
fulltime
Грейд
lead
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
AI Lead Software Engineer (AI and cloud data platforms): Designing and productionizing AI-driven solutions across large-scale cloud data platforms, including LLM workflows, document search, vector search, and semantic retrieval, with an accent on scalable architecture, data governance, and hands-on engineering. Focus on dynamic SQL generation, metadata and data catalog layers, reliable AI data pipelines, and advising engineering leadership on technology direction.

Location: Seattle, Washington; Atlanta, Georgia; San Francisco, California; or Sandy, Utah, United States

Company

hirify.global develops AI, cloud, and digital software used by global businesses for customer experience, financial crime prevention, and public safety.

What you will do

  • Design and implement AI-driven data solutions across Snowflake, Databricks, BigQuery, or equivalent cloud data platforms.
  • Prototype and productionize LLM-based systems for dynamic SQL generation, intelligent data access, document search, and semantic retrieval.
  • Build and maintain vector search capabilities using OpenSearch or similar technologies.
  • Develop metadata and data catalog layers that support LLM reasoning and data discoverability.
  • Build reliable, performant, and well-governed data pipelines for AI workloads.
  • Advise engineering leadership on technology selection and strategic direction while mentoring engineers and collaborating with global teams.

Requirements

  • 8–12 years of experience in software engineering or data engineering, including recent hands-on work with AI systems.
  • Expertise with large-scale cloud data platforms such as Snowflake, Databricks, or BigQuery.
  • Hands-on experience building LLM-driven workflows for dynamic SQL generation or intelligent data access.
  • Proficiency in Python and/or Java for AI pipeline development.
  • Experience with vector search, OpenSearch or similar technologies, and document or semantic retrieval.
  • Familiarity with data cataloging or metadata systems such as custom YAML schemas, Atlan, or DataHub, plus strong production troubleshooting and debugging skills.

hirify.global-to-have">hirify.global to have

  • Experience preparing data for AI through a semantic layer.
  • Experience advising engineering leadership on technology trade-offs and strategic direction.
  • Experience designing enterprise-grade AI and data solutions.
  • Ability to drive execution independently across distributed teams.

Culture & Benefits

  • Collaborate with global engineering teams across a company operating in more than 30 countries.
  • Work in an environment focused on AI, cloud, digital innovation, and high-scale software delivery.
  • Operate with high ownership, critical thinking, curiosity, execution, and a collaborative mindset.

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