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# Staff Software Engineer, AI Tooling

- **Company:** Airwallex US, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Cyber Security, Extract Transform Load (ETL), Linux, Python (Programming Language), Real-Time Operating Systems, Software Engineering, System Programming, Scripting, Software Application Programming, Kubernetes, Information Technology, Production Code, Data Pipelines, Serverless Computing, Golang
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-software-engineer-ai-tooling-san-francisco-ca--734768f1-7a92-4c8d-92cc-2596440537fa

## About the Role

Software Engineering, Artificial Intelligence (AI), Machine Tool, Financial Operations, Artificial Intelligence (AI), Financial Systems, Realtime Operating System, Reporting Dashboards, Machine Tool, Team Building, * Bachelor's degree in Computer Science, Information Security, or a related field.

 * 8+ years of experience as a Software Engineer.
 * Experience with production code bases
 * Experience with at least one scripting language (e.g. Python) and one systems programming language (eg. Golang, C/C++)
 * Experience with modern cloud infrastructure, including data pipelines, serverless workloads, and Kubernetes
 * Proven experience working autonomously on projects - delivering them to a high quality and on time.
 * Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.
 * Ability to dive deep to find the best solution to a problem
 * Obsessive curiosity and a willingness to ask questions, gather context, and learn, * Experience working in a high-growth tech company.
 * Hands on experience with AI - specifically leveraging AI to build applications
 * Experience maintaining Linux operating systems

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## Description

* Lead the development of AI tools and applications, from inception to implementation.
 * Support incident response efforts by building ad-hoc tools for threat hunting, remediation and scanners.
 * Build, monitor, and maintain underlying infrastructure, including Kubernetes clusters, serverless workloads, and ETL pipelines.
 * Sit with engineers to identify opportunities for automation and tooling development
 * Partner with product engineering teams to drive security outcomes - such as automation for patching, and development of gateways and other services to decrease risk.
 * Mentor and help grow other Software Engineers in the team.