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обновлено 6 дней назад

Senior AI Engineer (Data Analytics)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
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

Senior AI Engineer (AI Agents/Data Analytics): Building a customer-facing analytics product that converts natural-language questions into accurate business insights with an accent on AI agent systems and RAG. Focus on designing retrieval-augmented generation, natural-language-to-query capabilities, and ensuring the reliability of AI outputs over governed business data.

Location: Must be based in Singapore

Company

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.

What you will do

  • Design and ship AI agent applications and harnesses to answer business questions over governed data.
  • Develop core capabilities including retrieval-augmented generation (RAG), natural-language-to-query, and tool/function calling.
  • Optimize AI output quality via prompt engineering, evaluation benchmarks, and guardrails.
  • Collaborate on data models and pipelines to ensure agents reason over reliable business data.
  • Implement strict data governance and security practices to meet financial-services standards.
  • Provide technical leadership through design reviews and high engineering standards.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Finance, or a related field.
  • 5+ years of experience in production software, AI applications, and data pipelines.
  • Hands-on experience deploying agentic AI applications in production.
  • Proficiency in Python, SQL, software engineering, and data modeling.
  • Experience improving AI reliability through evaluation and quality measurement.
  • Must be based in Singapore.

Nice to have

  • Experience with semantic or metrics layers.
  • Knowledge of modern cloud data platforms and frameworks such as Databricks, Spark, and dbt.
  • Experience with streaming data pipelines using Kafka, Flink, or change-data-capture.
  • Experience with low-latency analytics technologies like ClickHouse.
  • Background in fintech, payments, or other financial platforms.

Culture & Benefits

  • Opportunity to work at a high-growth fintech valued at $8 billion.
  • Environment for "builders" with founder-like energy and high ownership.
  • Exposure to complex, high-visibility problems alongside exceptional teammates.
  • Commitment to a diverse and inclusive workplace.

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