5 часов назад
Senior Software Engineer (AI Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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