AI Software Engineer
3 weeks ago
Airwallex is a leading financial technology platform connecting entrepreneurs, business-builders, makers, and creators with opportunities worldwide. Our platform empowers businesses of all sizes to accept payments, move money globally, and simplify financial operations.
About the Role:We are seeking a talented Senior Software Engineer to spearhead the development of AI agents, transforming support and automation solutions for internal teams and external customers. You will shape the architecture and API design of cutting-edge systems, driving innovation and setting the standard for future developments in this exciting new field.
Key Responsibilities:- Lead the creation of an AI assistant platform to revolutionize support and automation.
- Design and implement robust API and system architecture for new AI applications.
- Assist in AI application roadmapping and strategy.
- Collaborate with a diverse, cross-functional team to leverage existing AI technologies and research and implement new ones to meet product goals.
- Provide prompt and effective solutions or workarounds in response to application issues or software bugs, maintaining high client satisfaction.
- Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation.
- 5+ years in full-stack software development, with a passion for AI and language technologies.
- Experience with AI language models, particularly in application development.
- Proficiency in Java, C++/C, Kotlin, Python, Typescript, or Javascript.
- Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems.
- Skills in database management for storing and retrieving AI-related data.
- A relevant degree in Computer Science, Mathematics, or related fields.
Airwallex offers a competitive salary, valuable equity, a collaborative open office space, a fully stocked kitchen, regular team building events, and the freedom to be creative. We are proud to be an equal opportunity employer, valuing diversity and considering candidates based on merit, qualifications, competence, and talent.
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