全职 Senior AI Software Engineer 工作, 薪水, Novos Technology Limited Hong Kong Island, Hong Kong 公司招聘中 - Ricebowl

Job description:

1. Lead design and development of scalable AI/ML infrastructure and production systems

2. Architect end-to-end solutions for model training, deployment, and serving at scale

3. Drive technical excellence through code quality, system design, and engineering best practices

4. Mentor engineers and shape technical roadmap for AI-powered products

Responsibilities:

1. Architect distributed systems for large-scale model training and inference

2. Design high-performance APIs, data pipelines, and service architectures

3. Create technical specifications and architecture decision records (ADRs)

4. Develop scalable training infrastructure supporting distributed GPU/TPU workloads

5. Implement model serving systems with low-latency requirements (REST/gRPC/GraphQL)

6. Create automated pipelines for CI/CD, model validation, and A/B testing

7. Ensure system reliability, scalability, and observability (SLA/SLO management)

8. Implement monitoring, logging, and alerting for ML services in production

9. Optimize performance through profiling, caching, and resource optimization

10. Lead incident response and post-mortem processes for production issues

11. Establish coding standards, review processes, and testing strategies

12. Drive refactoring initiatives and technical debt reduction

13. Champion software engineering best practices within AI/ML teams

14. Contribute to internal libraries, frameworks, and developer tooling

15. Mentor junior and mid-level engineers through pair programming and code reviews

16. Lead cross-functional initiatives with product, research, and operations teams

17. Represent engineering in technical discussions with stakeholders

18. Contribute to hiring processes and team growth strategies

Requirements:

1. B.S./M.S./Ph.D. in Computer Science, Engineering, or equivalent experience

2. 5+ years of software engineering experience is preferrable

3. Experience with specialized hardware: GPU clusters, TPUs, or edge AI accelerators

4. Background in compiler optimization or high-performance computing

5. Familiarity with MLOps platforms: Vertex AI, SageMaker, or Azure ML

6. Previous startup experience or 0-to-1 product development is preferrable