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5 часов назад

Senior Software Engineer (AI Engineering)

Формат работы
onsite
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 Software Engineer (AI Engineering) (AI/ML services and data pipelines): Developing, deploying, and maintaining production AI/ML services, applications, and data pipelines at scale with an accent on performance, reliability, maintainability, and testing. Focus on building LLM services, containerized microservices, CI/CD deployment workflows, and high-throughput systems for data scientists and product engineers.

Location: Singapore, Singapore; on-site. Only Singapore Citizens will be considered.

Company

hirify.global is an agency under Singapore's Ministry of Defence.

What you will do

  • Develop, deploy, and maintain applications, AI/ML services, including LLM services, and production data pipelines at scale.
  • Build development tooling for data scientists and product engineers.
  • Design and deliver performant, reliable, maintainable code using unit, integration, and performance testing.
  • Influence the roadmap for applications and data pipelines.
  • Collaborate with data scientists, product engineers, and users to enable new AI capabilities.

Requirements

  • Degree or background in a quantitative field such as engineering, computer science, mathematics, or physics, plus at least 3 years of relevant experience.
  • Proficiency in Python, Java, or similar programming languages.
  • Practical experience with RDBMS, NoSQL, and vector databases.
  • Experience with software deployment, CI/CD, containerization, and orchestration platforms such as Docker and Kubernetes.
  • Understanding of domain-driven design, microservice patterns, and service-oriented architectures.
  • Technical leadership experience, including mentoring engineers or driving collaboration across engineering teams.

Nice to have

  • Experience with Python web frameworks such as Flask or FastAPI.
  • Experience designing and maintaining highly reliable, high-throughput data pipelines.
  • Experience deploying and maintaining AI/ML services, including LLM services via vLLM.

Culture & Benefits

  • Work in the AI Engineering department in an on-site environment.
  • Collaborate with data scientists, product engineers, and users on production AI capabilities.

Hiring process

  • AI tools may support application review, resume analysis, or response assessment.
  • Final hiring decisions are made by humans.

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