Senior AI Engineer, Data Analytics

About the role

Airwallex, an AI-native financial operating system used by more than 675,000 businesses, is hiring a Senior AI Engineer for its AI team in Singapore. The team builds a customer-facing analytics product that turns data into business impact through AI, and you will build the agent systems that turn natural-language questions into accurate answers over business data. The role suits someone who combines deep AI engineering with solid data engineering foundations.

Key responsibilities

• Design, build and ship AI agent applications and agent harnesses that answer business questions accurately over governed data.
• Build core agent capabilities, including retrieval-augmented generation, natural-language-to-query and tool or function calling.
• Improve AI output quality through prompt and context engineering, evaluation benchmarks, guardrails and ongoing quality measurement.
• Partner on governed metrics, data models and data pipelines so agents can reason over consistent, reliable and secure data.
• Apply data governance and security practices, including safe handling of sensitive data, to meet financial-services standards.
• Contribute engineering judgment to technical design and review, and help raise the technical bar across the team.

Required profile

• Bachelor's degree in Computer Science, Mathematics, Finance or a related field.
• 5+ years of experience building production software, including AI applications, data pipelines and data models.
• Hands-on experience building and deploying agentic AI applications in production.
• Experience improving AI system accuracy and reliability through evaluation, guardrails or quality measurement.
• Track record of shipping reliable AI or data products and turning ambiguous business needs into clear technical solutions.

Required skills

• Strong Python, SQL, software engineering and data modeling fundamentals.
• Preferred: semantic layers or metrics layers, data governance, metadata management and data security.
• Preferred: Databricks, Spark, dbt, Kafka, Flink, change-data-capture, ClickHouse, and experience in fintech or payments.

The role is based in Singapore. Applicants should apply through the company's careers site; the company states it will not ask for bank details or sensitive IDs during the process and does not accept unsolicited resumes from recruiters.