обновлено 1 месяц назад
SW Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
SW Engineer (AI/LLM): Building agentic and deep learning solutions for real-time payment transactions and product reliability at global scale with an accent on scalable software, microservices, and high-throughput data processing. Focus on developing AI-enabled reliability solutions, designing systems for 100K+ TPS, and supporting 99.9999% service availability.
Location: Singapore. Hybrid position with at least 3 days in the office; exact office days will be confirmed by the hiring manager.
Company
operates global payments technology connecting consumers, merchants, financial institutions, and governments across more than 200 countries and territories.
What you will do
- Build agentic solutions using advanced LLMs from Anthropic, OpenAI, and other providers.
- Develop deep learning solutions for real-time payment transactions processing 100K+ TPS and petabytes of data.
- Design and implement scalable, secure, reusable software and services operating at global scale.
- Develop and test full-stack software products and collaborate with Product, QA, DevOps, and Agile-Scrum teams.
- Improve product reliability, service technology, automation, operational flows, logging, and monitoring.
Requirements
- Bachelor’s degree in Computer Science or a related technology or engineering discipline.
- 1–2 years of software development experience with a Bachelor’s or advanced degree.
- Experience with at least one programming language such as Java, C#, C++, Go, Python, Scala, or .NET.
- Experience building and deploying modern services or web applications, including microservices with HTTP, REST, and JSON.
- Experience with relational or NoSQL databases, Git-Stash, Maven, and Jenkins.
- Strong analytical, problem-solving, communication, collaboration, and continuous-learning skills.
Nice to have
- Exposure to agentic development tools such as Cline, Claude, GitHub Copilot, or Power Automate.
- Exposure to Kafka, CI/CD, auto-deployment, system availability, logging, monitoring, large-scale data analytics, and statistical modeling.
- Experience coding with GenAI and learning new backend, frontend, testing, and DevOps technologies.
Culture & Benefits
- Collaborative, multifunctional engineering environment focused on solving complex global challenges.
- Opportunities for mentorship, continued learning, experimentation, and contributions to global or local initiatives.
- Work on digital payments infrastructure supporting billions of cardholders and millions of merchant locations.
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